CVPR2019

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MACHINE LEARNING ENGINEER

CGTrader | Yokneam Illit, Isreal

What You Will Need Bachelors or Masters in computer science, engineering, physics or mathematics with specialization in computer vision, image science or machine learning areas At least 2-3 years of experience working with Machine Learning (Deep Learning). Good understanding and working experience of various fundamentals and concepts of image processing, computer vision, and machine learning Strong grasp of deep Learning building blocks and architectures. Familiarity with image models such as AlexNet, VGG, GoogleNet. Experience with open-source computer vision and deep learning libraries such as OpenCV, Caffe, TensorFlow Familiarity with python a big plus Experience of an Agile environment Matlab knowledge is a strong plus Interests in augmented reality and rendering systems Strong technical communicator. Plots and graphs should be your tool of choice, and you’re capable of explaining complicated concepts to a non-technical audience Nice To Have Experience with code optimization, parallelization, and deployment. Familiarity handling large amounts of image data. Strong understanding of 3D environments (the real world doesn’t count!) Why You Will Love this Opportunity: Alongside a great company, the work itself will provide you with continuous improvement and a constant challenge! You will: Work on incredibly hard problems in computer vision that are in huge demand and holds a lot of value to the industries like AR / VR, e-commerce. We have the ideas and we need your computer vision experience to make it a reality Create world-class computer vision products Work in a dynamic team that provides continuous opportunities for learning and growth Create 3D reconstruction algorithms and methods to automate the process of 3D modeling Automate various aspects of 3D modeling Research and Develop methods for extracting 3D data from 2D images Work closely with top-notch engineers from our 3D team Come up with innovative solutions for first-time problems What’s on Offer It is a truly exciting time for CGTrader, with the whole industry on the cusp of breakthrough - a very exciting time to join and become not only a part of it but a driving part of CGTrader’s continued success! You will have an opportunity to develop our Computer Vision practices from the ground up and strongly influence technical decisions. On top of this, we also offer: A very competitive salary Flexible working hours to suit your work/life balance Private Health Insurance Professional Development Budget A great workplace culture Great future opportunities If you would like to apply, please send over your CV to our careers email!

More info | Contact: Giedre Bernataviciute | Posted on: 2019-07-10 13:40:00 UTC

TECHNICAL LEAD FOR ARTIFICIAL INTELLIGENCE

CGTrader | Yokneam Illit, Isreal

We are CGTrader, a market-leading startup in the 3D space, and we are looking to take our operations to the next level. To maintain our position at the cutting edge of the industry, we are looking to leverage Artificial Intelligence combined with our vast database of 3D models for solving a challenge of automatically creating 3D models from 2D images. We are looking for a specialist, experienced with AI (Machine/Deep Learning, Computer Vision) to join us as the Technical Lead for Artificial Intelligence and lead a whole newly-built department. What You Will Need: Masters in computer science, engineering, physics or mathematics with specialization in computer vision, image science or machine learning areas; At least 2-3 years of leading Machine Learning (Deep Learning) projects; Advanced understanding and working experience of various fundamentals and concepts of image processing, computer vision, and machine learning; Strong grasp of deep Learning building blocks and architectures. Familiarity with image models such as AlexNet, VGG, GoogleNet; Experience with open source computer vision and deep learning libraries such as OpenCV, Caffe, TensorFlow; Familiarity with python a big plus; Experience of an Agile environment; Matlab knowledge is a big plus; Interests in augmented reality and rendering systems; Strong technical communicator. Plots and graphs should be your tool of choice, and you’re capable of explaining complicated concepts to a non-technical audience. Nice To Have: Experience with code optimization, parallelization, and deployment. Familiarity handling large amounts of image data; Strong understanding of 3D environments (the real world doesn’t count!); Previous experience in leading an R&D operation. You will: Work on incredibly hard problems in computer vision that are in huge demand and holds a lot of value to the industries like AR / VR, e-commerce. We have the ideas and we need your expertise to make it a reality; Have the opportunity to build an R&D department around yourself and define the further scope of it; Create world-class machine learning and computer vision products; Create 3D reconstruction algorithms and methods to automate the process of 3D modeling; Automate various aspects of 3D modeling; Research and Develop methods for extracting 3D data from 2D images; Work closely with top-notch engineers from our 3D team; Come up with innovative solutions for first-time problems. Why You Will Love this Opportunity: Alongside a great company, the work itself will provide you with continuous improvement and a constant challenge! That, and the opportunity to lead a department working on a revolutionary technology for the field. What’s on Offer: It is a truly exciting time for CGTrader, with the whole industry on the cusp of breakthrough - a very exciting time to join and become not only a part of it but a driving part of CGTrader’s continued success! You will own the R&D aspect of the company and will be an integral part in making future decisions. On top of this, we also offer: A very competitive salary; Flexible working hours to suit your work/life balance; Private Health Insurance; Professional Development Budget; Additional benefits that can be agreed on a case-by-case basis; A great workplace culture; Great future opportunities!

More info | Contact: Giedre Bernataviciute | Posted on: 2019-07-07 15:03:09 UTC

Two Postdoctoral Researcher(s) in Innovations in Formalized Learning for Open Worlds

Vision and Security Technology (VAST) Lab, University of Colorado Colorado Springs |

Dr. Boult and his team at UCCS are seeking highly motivated postdoctoral researchers with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning. Classic machine learning and AI make a closed-world assumption, leading to fragile systems that cannot label novel inputs as unknown nor handle novel variations in the world. Very few existing systems can detect novelty and then learn from previous unknowns – almost all systems misclassify the unknown. At the core of intelligence is the ability to recognize when we do not know something, analyze the need to learn about it, and then, when needed, to adapt and learn it – a process we call open-world learning. We seek a candidate to join our multi-institution efforts exploring four main research directions: 1) Formalized models for open world learning with extreme-value theory, 2) Semi-supervised and unsupervised incremental learning 3) Open world learning for object classification and detection, and 4) Open world learning in visual observation of games. The PostDocs are expected to both do research, develop software, write papers, and lead/works with students. Five or more years of Computer vision and/or Machine Learning research and development experience required. Developments will be in Python and C++ on Linux and significant systems/software engineering experience in one or both languages preferred. A Ph.D. is preferred but an MS with significant experience will be considered. International candidates with strong English skills will be considered; we can manage the visa issues. The University of Colorado is an equal opportunity employer; women and underrepresented populations are strongly encouraged to apply. If you are interested, please send an email with the subject "Innovations in Formalized Learning for Open Worlds" to tboult@vast.uccs.edu with your CV, list of three references, and research statement as it related to this position. We are expecting to fill two positions to start in October 2019, contingent on the project funding. This is an unofficial pre-job-posting announcement; formal posting of the position is expected in August but will have a short window for applications. Updated information about the posting will be posted at https://vast.uccs.edu/jobs/#FLOW. If you have sent an email expressing interest, you will be informed when the formal applications can be submitted. The call will be open until the position is filled.

More info | Contact: Terry Boult | Posted on: 2019-07-05 04:17:49 UTC

Computer Vision/ML Engineers

Confidential (Under NDA) | Abu Dhabi

Major Responsibilities You will join a multi-disciplinary collaborative team of engineers and scientists working in a dynamic and fast-paced environment. We require Computer Vision Engineers / Researchers. On a daily basis you can expect to be: Developing new algorithm concepts and designs in a collaborative environment, Implementing new algorithms in Python, MATLAB, and C++, etc. Supporting testing, evaluation, and demonstration of new algorithms, and Collaborating with other engineers to optimize, debug, and improve algorithms on the target hardware platforms. You will also grow yourself and the team by: Designing new algorithm concepts that can be efficiently implemented in a heterogeneous computing platform, Maintaining awareness of the state-of-the-art in computer vision, and Presenting your work at international technical conferences. Basic Qualifications An advanced degree (MSc or PhD) in Computer Science or a similar technical field with a specialization in Computer Vision Hands-on in coding A strong foundation in linear and non-linear optimization algorithms, and A passion for taking on new challenges and learning new skills to solve them Solid research background, preferably with publications Preferred Qualifications Solid understanding of one or more of the following: signal processing, image processing, computer vision, sensor fusion, structure from motion, numerical methods, optimization, knowledge graph, deep learning We are located in Abu Dhabi in the UAE.

More info | Contact: Lauren McPherson | Posted on: 2019-06-27 15:15:25 UTC

AI Application algorithm development expert

Inspur | Beijing or Jinan (Shandong Pro)

Responsibility 1. Tackling relevant AI key technologies and forming high-precision AI algorithm and model products; 2. Study the AI application algorithm and model realization of typical scenes, completed engineering projects and form AI application solutions. Qualifications 1. Master's degree or above in automation, mathematics, artificial intelligence, computer vision, data mining or other related majors; 2. Have the theoretical system and algorithm system of a certain direction, such as image, video, NLP, familiar with machine learning, deep learning algorithm, and have the ability of AI application algorithm design; 3. At least one complete AI application project development experience, deep learning project experience is preferred; 4. Based on GPU platform, proficient in at least one deep learning framework such as Caffe, Tensorflow, mxnet and PyTorch; 5. Familiar with C or C++ or Python programming under Linux; 6. Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred. Base location can be either in Beijing or Jinan (Shandong Pro)

More info | Contact: Yvonne Cheng | Posted on: 2019-06-22 17:46:18 UTC

AI Computing performance optimization expert

Inspur | Beijing or Jinan (Shandong Pro)

Responsibility 1. Responsible for performance optimization in the field of high-performance computing; 2. Responsible for HPC user-related application tuning projects; 3. Research the application properties, characteristics and performance improvement methods of high performance computing. Qualifications 1. Computer related major, master degree or above; 2. Be familiar with relevant basic principles and calculation methods, and be able to use common application software on large-scale computing clusters, and get familiar with the less used applications quickly; 3. Experience with large-scale computer cluster is preferred. Base location can be either in Beijing or Jinan (Shandong Pro)

More info | Contact: Yvonne Cheng | Posted on: 2019-06-22 17:46:16 UTC

AI Solution system architect

Inspur | Beijing or Jinan (Shandong Pro)

Responsibility： 1. Deeply involved in AI calculation and reasoning platform, tested and optimized the platform performance;Quick mastery of the latest machine learning tools; 2. Cooperate with AI users to form typical scenarios and research topics of application performance optimization, so as to improve the efficiency of the platform from multiple levels. Qualifications 1. Master's degree or above in automation, computer science and technology, artificial intelligence, machine learning and other related majors; 2. Familiar with Linux and shell programming, able to operate and use at least one deep learning framework (tensorflow, caffe, pytorch); 3. Familiar with python programming language, able to use machine learning related libraries; 4. Experience in machine learning, data mining, deep learning and other data processing projects; 5. Have the ability of cuda, mpi and other parallel programming is preferred; familiar with the work of performance optimization and the use and debugging of network, database and GPU is preferred; 6. Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred.6. Strong communication skills, learning ability, problem solving ability, fluent oral English communication skills are preferred. Base location can be either in Beijing or Jinan (Shandong Pro)

More info | Contact: Yvonne Cheng | Posted on: 2019-06-22 17:46:14 UTC

Vision based 3D shape tracking of deformable objects under robotic manipulation.

SIGMA Clermont, Institut Pascal | Clermont-Ferrand, France

Candidate expected to develop a fast and robust method for inferring and tracking 3D shapes of deformable objects. The method will be mainly based on visual sensing. Tactile and force sensors will be used as complementary sensing. The method can use either or both of model-based (e.g., geometry, physics) and learning-based (e.g., deep learning) approaches. PhD and Postdoc positions are available for this subject. Beginning Date: 1st October 2019. Requirements: (i) Strong background on 3D computer vision. (ii) Good publications record on computer vision and robotics. Applying to the position: (i) Please insert "your CV" and "2 reference contacts" and "your published best paper" into a single pdf file. (ii) Name the file with your name as "name_surname_phd" or "name_surname_postdoc". (iii) Then send this single pdf file to: youcef.mezouar@sigma-clermont.fr, juan.corrales@sigma-clermont.fr and erol.ozgur@sigma-clermont.fr with [3D shape tracking application] as email subject.

More info | Contact: Youcef Mezouar | Posted on: 2019-06-22 17:42:46 UTC

Software Engineer / Data Scientist

Apple | Cupertino, CA

Changing the world is all in a day's work at Apple. If you love innovation, here's your chance to build a career. We invite you to join our mission in building and redefining App Store/Music/Movies/TV Shows/Books. Apple is critically invested in the success of its mobile ecosystem. App Store/Music/Movies/TV Shows/Books is a core asset that is at the crux of this ecosystem. Our team operates at the intersection of building highly scalable applications, analytics to understand data content and big data machine learning to improve the quality of the ecosystem. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it. You should join the Apple data platform team if you want to help deliver the next amazing Apple product.Key Qualifications Expertise and experience in various facets of machine learning, such as computer vision, classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking. Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics. Do you have Strong publication in machine learning/deep learning/computer vision? Knowledge and experience with popular deep learning frameworks (e.g. Tensorflow, Keras, Caffe) desired. Strong programming and debugging skills in: Java and either Python or C/C++ or equivalent. Good knowledge of big data processing, prior experience with Hadoop, Spark, Cassandra is preferred. Excellent writing and interpersonal skills. Attention to detail, data accuracy and quality of output. You are upbeat, adaptable, and results oriented with a positive attitude. You bring passion and dedication to your job and are committed to our vision. Description Ability to work in a fast-paced dynamic environment. Analyze, design, code, inspect, debug, and test features for the data platform. Maintain and improve existing applications in response to new feature requests. Collaborate closely with members of other teams throughout the release cycle. Education & Experience BS in Computer Science, Mathematics, or EE, or relevant industry experience is required. MS in Computer Science or related technical field is desired.

More info | Contact: ian ng | Posted on: 2019-06-22 17:39:28 UTC

Computer Vision Engineer

Chicago White Sox | Chicago, IL

The Chicago White Sox are looking for qualified candidates for a full-time computer vision engineering position located at Guaranteed Rate Field in Chicago, IL. The position will focus on extracting baseball data from high frame rate video. Candidates should have proficiency with OpenCV using Python or C++ and have demonstrated examples using 3D pose estimation and object identification. Experience setting up camera hardware is preferred. Candidates should have knowledge and interest in baseball. Remote work may be a possibility. If interested, please email your resume and examples of your work to Matt Koenig at mkoenig@chisox.com.

More info | Contact: Matt Koenig | Posted on: 2019-06-20 14:38:23 UTC

Postdoctoral Research Scholar

North Carolina State University | Raleigh

The Center for Nuclear Energy Facilities and Structures (CNEFS) and Construction Automation and Robotics Lab (CARL) at North Carolina State University has an opening for a postdoctoral research scholar. This project attempts to reduce construction cost and time of highly specialized facilities through advances in AI/ML and robotics. We will be using visual sensors (cameras and laser scanners) to automate condition assessment of building components, unmanned vehicles (ground and aerial) for automated visual data collection, and AR/VR/MR for bringing virtual and scanned (point clouds) objects into a virtual space to simulate and manage construction. There will be a high chance for commercialization as research questions are driven by very specific industry problems. There will be career development through direct faculty-oriented mentorship and interaction with industry leaders and researchers at the Idaho National Laboratory. An ideal candidate should have the following qualifications: 1. PhD in Computer Science or related field; 2. Extensive experience in one or more of the following areas Computer Vision, Robotics, Computer Graphics/Game/Animation, and AR/VR/MR; 3. Strong written skills and proven academic track record of publications; and 4. Preferred, but not required, software engineering experience.

More info | Contact: Dr. Kevin Han | Posted on: 2019-06-20 14:37:40 UTC

Postdoctoral Researcher in Computer Vision and Machine Learning

Cornell University | Ithaca, NY. USA

We are looking for a postdoctoral reasearcher with experience in computer vision / deep learning. Our research focuses on machine learning problems in the context of autonomous vehicles. Our research group is jointly supervised by Mark Campbell, Kilian Weinberger, and Bharath Hariharan. Concretely, we focus on 3D object detection, 3D tracking, segmentation, re-identification and other fundamental problems for self-driving vehicles. This call will be open until the postdoc position is filled.

More info | Contact: Kilian Weinberger | Posted on: 2019-06-20 14:36:42 UTC

Computer vision researcher

NEC Labs America | San Jose

The Media Analytics Department in San Jose is seeking outstanding researchers with backgrounds in computer vision, machine learning, robotics or computational photography. Candidates must possess a PhD in computer science or equivalent, with an exceptional track record of original research and passion to create high impact products. Our researchers are expected to establish leadership in their communities, with publications at top-tier venues such as CVPR or NeurIPS. Our two key research directions are visual recognition and 3D scene understanding, with applications such as face recognition or self-driving. We have a strong internship program and active collaborations with academia. To check out our latest work, please visit: http://bit.ly/2o5gSJ4. Please see the “More Info” link or contact email to apply.

More info | Contact: Manmohan Chandraker | Posted on: 2019-06-20 14:36:02 UTC

Computer Vision Research Scientist

Alibaba Amap | Seattle/Bay area/Beijing

Are you a computer vision enthusiast who wants to develop cutting-edge algorithms and see them actually work and be used? Do you want to make a positive impact on the lives of billions of people? Alibaba invites you to join our brand new AMAP research team, tasked for exploring and developing technologies to create a new future for mapping and navigation, examples including large-scale traffic estimation and simulation, real-time video analysis, localization, high-definition maps and assisted driving, as well as AR navigation and infotainment. If you are an independent problem solver, have a strong drive to excel, with enormous passion in internet industry, and are looking for opportunities to make a big impact, this is the right place for you. We have offices in Beijing, Hangzhou, Seattle and Bay Area. All levels of experience and all subareas of expertise are welcome. Requires: - Ph.D. in computer science or related fields (or 5+ years of equivalent research experience) - Expertise and knowledge in the state of the art of computer vision and machine learning - Proven track record of coming up with novel ideas and developing novel solutions - Hands-on and motivated to build things and make them work - Strong communication skills and ability to work with partners both in China and USA

More info | Contact: Lilian Yang | Posted on: 2019-06-20 14:35:18 UTC

Postdoc / Research Fellow: Representation learning for computational creativity

CVSSP, University of Surrey | Guildford (near London) UK

This 12 month postdoctoral research fellowship will explore self-supervised methods to learn computational models of creativity from large volumes of digital creative work. The goal is to develop interact tools to help inspire digital artists in their workflows, and also to protect digital creative work against unauthorized use and/or fabrication (deep fakes/video re-write). The fellowship is based in the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey with over 150 researchers in Computer Vision, and co-supervised by Adobe Research’s Creative Intelligence Lab (CIL). Post open to applicants holding (or soon to expect to hold) a PhD in Vision, Deep Learning or related fields. The University can support applications for work authorization for candidates outside of the UK/EU.

More info | Contact: Prof. John Collomosse | Posted on: 2019-06-19 15:41:13 UTC

Machine Learning Scientist

Compass Inc | Seattle

Compass is building the first modern end-to-end real estate platform by integrating agents, buyers and sellers through technology. Until Compass, no one has achieved the blend of the Natural Intelligence that hundreds of thousands of enterprising real estate agents bring to this market, with the “Artificial Intelligence” that cloud, mobile and AI technologies enable. We are building AI to empower AI - Artificial Intelligence to empower Agent Intelligence. As one of the fastest growing technology companies of our generation, in an industry larger than any other, we have an opportunity and obligation to build a world-class engineering team and the operating platform that will transform real estate. In 2019 we will triple the size of our engineering team and are searching for creative and inspiring colleagues at all levels of the engineering organization. Seattle’s vast talent pool and legacy of innovation make the city a perfect destination for our west coast team - come help craft the culture as we launch our new campus! At Compass, our mission is to help everyone find their place in the world. This means we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place. Our entrepreneurship principles bind us together and inform how we tackle the tremendous challenges ahead. About the Role As an AI / Machine Learning Scientist at Compass, you will use your experience with state-of-the-art machine learning models and methods to improve every step of the real estate agent, buyer and seller experience at Compass. Leveraging the data-rich features of the real estate industry, you will build technology that analyzes listings and other relevant geospatial features, observes user behavior, ingests financial transaction data and builds models that predict the needs of Compass stakeholders at every step of their real estate journey. At Compass You Will: Build, develop and scale our machine learning capabilities that powers data science and AI features Be a domain expert on real estate technology and products and an empathetic partner to our customers Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies What We Look For: PhD in Computer Science, related technical field or equivalent practical experience. Strong programming skills in one or more of the following: Python, Go, C++, and/or Java Experience in one or more of the following areas: Search, RecSys, Natural Language Processing (NLP), Computer Vision (CV), Optimization, Time Series Forecasting and Data Mining. Contribution to research communities and/or efforts, including publishing papers at conferences and journals. Relevant work experience, including full time industry experience or as a researcher in a lab Ability to design and execute research and experimentation agenda

More info | Contact: Jon Fu | Posted on: 2019-06-19 15:40:19 UTC

Machine Learning Engineer

Compass Inc | Seattle

Compass is building the first modern end-to-end real estate platform by integrating agents, buyers and sellers through technology. Until Compass, no one has achieved the blend of the Natural Intelligence that hundreds of thousands of enterprising real estate agents bring to this market, with the “Artificial Intelligence” that cloud, mobile and AI technologies enable. We are building AI to empower AI - Artificial Intelligence to empower Agent Intelligence. As one of the fastest growing technology companies of our generation, in an industry larger than any other, we have an opportunity and obligation to build a world-class engineering team and the operating platform that will transform real estate. In 2019 we will triple the size of our engineering team and are searching for creative and inspiring colleagues at all levels of the engineering organization. At Compass, our mission is to help everyone find their place in the world. This means we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place. Our entrepreneurship principles bind us together and inform how we tackle the tremendous challenges ahead. About the Role As an AI / Machine Learning Engineer at Compass, you will use your experience with AI tools and technology to improve every step of the real estate agent, buyer and seller experience at Compass. Leveraging the data-rich features of the real estate industry, you will build technology that analyzes listings and other relevant geospatial features, observes user behavior, ingests financial transaction data and builds models that predict the needs of Compass stakeholders at every step of their real estate journey. At Compass You Will: Build, develop and scale our machine learning infrastructure that powers data science and AI features Be a domain expert on real estate technology and products and an empathetic partner to our customers Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies What We Look For: BA/BS in Computer Science, related technical field or equivalent practical experience. Strong programming skills in one or more of the following: Python, Go, C++, and/or Java Experience with modern web frameworks (e.g. Go/React), distributed computing (e.g. Spark), public cloud platforms (e.g. AWS) and data pipelines Familiarity with containerization, microservices architecture, continuous integration and delivery (CI/CD) Experience with products throughout their life cycles, from idea conception to product release and maintenance Experience in platform and infrastructure development in supporting machine learning applications in one or more of the following areas: Search, RecSys, Natural Language Processing (NLP), Computer Vision (CV), Optimization, Time Series Forecasting and Data Mining. At Compass, our mission is to help everyone find their place in the world. This means we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place.

More info | Contact: Jon Fu | Posted on: 2019-06-19 15:39:54 UTC

Machine Learning Engineer in Medical Imaging (Senior / Intern)

Heidelberg Engineering | Heidelberg, Germany

Description of the job: Heidelberg Engineering provides diagnostic solutions that empower clinicians to improve patient care in ophthalmology and impact the lives of millions of people. The growing product portfolio combines advanced hardware (such as optical coherence tomography and confocal microscopy) with powerful software (real- time image processing, visualization and medical records management). This is an exciting opportunity to join our fresh AI team based in beautiful Heidelberg, Germany and to help revolutionizing the field of ophthalmology with machine learning. **Your responsibilities**: ##) Research, implement and evaluate machine learning-based features for our medical imaging systems, such as: i) Smart image acquisition, enhancement and registration, ii) Automated extraction of diagnostic features (segmentation, localization), iii) Integration with multi-modal patient data, including electronic health records, for computer-supported diagnosis, disease progression and treatment planning. ##) Collaborate with our clinical partners to gather the right data, plan studies and receive feedback. ##) Support our product managers by staying up to date in trends in your field and scouting for interesting technologies. ##) Support our regulatory department in deploying and validating your work to be eventually used all over the world in clinical practice. **Your qualifications**: $$) University degree (PhD preferred) in computer science, mathematics, physics or a related subject. $$) Sound knowledge and extensive practical/research experience with state-of-the-art computer vision and machine learning methods (particularly deep learning), ideally supported by academic publications or open-source projects. $$) Strong coding skills in Python and a deep learning framework (ideally PyTorch), as well as C++. Experience with unit testing, continuous integration, and design documentation. $$) Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. $$) Bonus points: Recent industrial experience in ML/AI and healthcare, computational photography, experience in dataset curation, deployment and/or regulatory affairs. Less experienced but highly motivated students are encouraged to apply as well and may be considered for an internship.

More info | Contact: Martin Simonovsky | Posted on: 2019-06-19 15:33:30 UTC

Computer Vision Researcher

Systems & Technology Research | Woburn, MA

Description of the Job: STR is applying cutting-edge computer vision & deep learning techniques to solve problems in object detection, recognition, localization & tracking, biometrics, 3D scene reconstruction & vision-aided navigation. We are a privately-owned, rapidly growing business focused on research and development (R&D) for the defense and intelligence communities. STR has approximately 200 employees at sites in Woburn, MA, Dayton, OH and Arlington, VA. We are a nationally recognized leader in research areas including data analytics, sensors and signal processing, electronic warfare, cyber, video and image understanding, command and control, and precision navigation. We are looking for talented researchers to help design and implement innovative computer vision algorithms for solving challenging scene understanding problems. Seeking applicants with PhD or MS degree with relevant experience in computer science, electrical engineering, applied mathematics or related technical discipline; US citizenship is required. Please see the ‘More Info’ link or email for additional information and related job postings.

More info | Contact: Cory Schutz | Posted on: 2019-06-19 15:32:21 UTC

Automotive Computer Vision Researcher

Algolux | Munich, Germany

Algolux improves vehicle safety and system performance while reducing program risks. Algolux constantly strives to be on the cutting edge of autonomous vision to enable safer vehicles. We’re looking for exceptional individuals to help us achieve breakthroughs in deep learning, computer vision, and computational imaging. As a researcher at Algolux, you have the expertise and the ability to make novel research contributions in computer vision, imaging, and machine learning. You will be a key part of a team that is building breakthrough end-to-end perception stacks for autonomous vehicles. We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild. The technology developed at Algolux is deployed at scale in vehicles and camera solutions. We believe at interdisciplinary research at Algolux and candidates will be working with a diverse team of imaging, computer vision, optimization, physics, and optics experts. As part of this team, we expect novel ideas to be published in major publications from time to time. Responsibilities: Develop and evaluate deep learning models in the wild. Don't be satisfied with solving toy problems. Solve the real problem in the wild. Build compelling demos and illustrative results. Work closely with an established engineering team. Requirements: Ph.D. or Masters in computer science or engineering, in areas related to computational imaging, machine learning, computer vision. Experience in Automotive Computer Vision systems. Track record of relevant publications in top-tier conferences and journals (ICCV, CVPR, ICML, SIGGRAPH, NeurIPS, etc.) and/or significant industry experience working as a member of a camera/vision research team. Experience with Deep Learning frameworks, model architecture design, training methodologies, and data management. Experience with digital camera systems (sensors and ISPs). Python programming. Tensorflow programming. Knowledge of cloud-based and GPU heterogeneous compute platforms. Agile development with Git, Bitbucket, pull requests, etc. Please visit our booth at the conference! You can also send your cv to: karina.muller@algolux.com

More info | Contact: Karina Muller | Posted on: 2019-06-19 15:31:35 UTC

Postdoctoral Researcher in Computer Vision and Machine Learning

Broad Institute of MIT and Harvard | Cambridge, MA. USA

Join a new research group at the Broad Institute of MIT and Harvard focused on the use of machine learning to solve fundamental problems in biology and medicine. We have an opening for a highly motivated postdoctoral researcher with a strong record of accomplishment in computer vision and machine learning. We seek a candidate to join our efforts exploring three main research directions: 1) extract information from large scale image collections and integrate it with other data modalities. 2) develop reinforcement learning and metalearning solutions to assist biologists analyze data collections and drive biological discovery. 3) design explainable and interpretable models to facilitate the formulation of new hypotheses for treatments or other studies. The Broad Institute of MIT and Harvard is at the forefront of biological research worldwide, making fundamental contributions to the human genome project 15 years ago, and more recently, discovering gene editing methodologies to cure disease. The Broad offers and exciting academic environment for research and collaboration between biologists and computer scientists. The vast amount of biological data collected by the Institute demands novel statistical and machine learning models to extract, analyze and integrate information automatically. Please send an email to jcaicedo@broad.mit.edu with your CV, list of three references, and research statement if you are interested in this position. The expected starting date is flexible, ideally September 1st 2019. The call will be open until the position is filled.

More info | Contact: Juan C. Caicedo | Posted on: 2019-06-19 15:25:12 UTC

Machine Learning Research Scientist

Lendbuzz | Boston, MA

Lendbuzz is a fintech venture based in downtown Boston. We are a diverse team in gender, nationalities, and cultures, speaking eight languages and representing six countries. We are incredibly passionate about the problem we're solving, the clients we're helping, and the exciting future of our company. Qualifications: Ph.D. and research experience in machine learning or related field 3+ years of experience or knowledge equivalent with a strong CS and ML foundation. A firm grip on programming fundamentals Intimate familiarity with Python and its data analysis tools Ability to think and lead projects independently, come up with new ideas and research on them As a Machine Learning Research Scientist, you will: Build machine learning models using financial and other data modalities Design and collaborate with the engineering team to get macine learning models production ready Analyze machine learning models and data Devise new research methods to solve bleeding edge problems

More info | Contact: Otkrist Gupta | Posted on: 2019-06-19 15:24:24 UTC

Computer Vision/Software Engineer

SMT | SF Bay Area, Durham, Jacksonville

SMT, with divisions in Durham, NC, Fremont, CA, and Jacksonville, FL, is the leading innovator in real-time data delivery and graphics solutions for the sports and entertainment industries, providing clients with scoring, statistics, virtual insertion and messaging for broadcasts and live events. SMT’s solutions have been used at the world’s most prestigious live events, including the Super Bowl and NBC Sunday Night Football, all major pro golf and tennis events, the Indianapolis 500, the NCAA Tournament, ESPN X Games, NBA on TNT, NASCAR events and NHL games. SMT’s clients include major broadcasters as well as regional and specialty networks, leagues, organizing bodies, event operators, sponsors and teams. The Computer Vision/Software Engineer participates in the development of software and systems with an emphasis on computer vision, object tracking, 3D modeling, camera modeling, and related graphics rendering to support current and future SMT products and technologies. For more information, visit www.smt.com.

More info | Contact: RADFORD PARKER | Posted on: 2019-06-19 15:23:41 UTC

Post doctoral associate - imaging and data science

Imaging and Data Science Laboratory, University of Virginia | Charlottesville, VA, USA

The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on pattern recognition, machine learning, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others. The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics. Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g., papers, patents, presentations, etc.), and have the ability to implement computer algorithms. Apply online at https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Research-Associate_R0006136 and attach a cover letter, curriculum vitae, statement of research interest, and contact information for three professional references.

More info | Contact: Gustavo Rohde | Posted on: 2019-06-19 15:22:31 UTC

PhD, postdoc and MSc positions in computer vision and machine learning in Finland

Aalto University | Helsinki, Finland

We are seeking new members to our computer vision and machine learning research teams in Helsinki, Tampere, and Oulu in Finland. We offer several positions ranging from 1 to 4 years on levels of: - Masters thesis worker - PhD candidate - Postdoctoral researcher - Research engineer The positions will offer excellent opportunities to work in a team of professionals responsible for developing cutting edge computer vision and machine learning technology, and allows you to learn many aspects from fundamental research problems to concrete applications. We welcome applications with any research focus related to computer vision and machine learning. In addition, we are especially seeking candidates with the following research focus: - Visual localization - Visual-inertial odometry - Simultaneous localization and mapping (SLAM) - 3D scene reconstruction - Machine learning based image reconstruction and manipulation - Sensor fusion and statistical machine learning - Augmented reality for games and mobile applications (Android and/or iOS) Ideal candidate has a strong programming and mathematics background. Experience in (or strong will to learn) programming with Python or C++/Java are considered as advantages. Previous experience on Android/iOS programming is also beneficial, particularly for the research engineer positions.

More info | Contact: Juho Kannala | Posted on: 2019-06-19 15:21:27 UTC

Computer Vision Researcher

Lyft Level 5 | London

In London, Lyft is working on building 3D visual maps at unprecedented scale using computer vision. Visual maps are a powerful tool for encoding and understanding the geometry and semantics of the world, which is a key component of safe and efficient autonomous driving. Our mission is to push the state-of-the-art of computer vision algorithms like visual SLAM and Structure from Motion (SfM) to new levels of accuracy, robustness and scale. This newly formed team will be responsible for developing new experimental solutions that combine the latest findings in cutting-edge computer vision, machine learning and large-scale data processing to advance the capabilities of our existing systems and to advance the state-of-the-art of the field. Responsibilities: Work in a small, high-velocity team of engineers and researchers Design and prototype new computer vision & machine learning solutions Identify bottlenecks in existing algorithms and systems Develop case studies and experimentally validate hypotheses Work with AV engineering teams in productionizing systems Advance the state-of-the-art, publish and represent Level 5 at top-tier conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA) Experience & Skills: PhD in Computer Vision, Machine Learning or Robotics Track record of publishing at state-of-the-art conferences (e.g. CVPR, NIPS, ICCV, RSS, ICRA) Programming experience in implementing prototypes of new cutting-edge solutions using Python, C++ or Matlab Expertise and hands-on experience in one or more of the following areas: Neural Networks Graphical models SLAM Generative models Parametric model fitting Bayesian modelling (Inverse) Reinforcement learning Continuous optimisation 3D computer vision

More info | Contact: Ed Dingley | Posted on: 2019-06-19 15:20:30 UTC

Senior Data Scientist

microsoft | Houston, Texas, United States

Do you want to shape the future of oil & gas through innovative technology solutions? We are looking for data scientists who want to apply deep learning techniques to solve real-world problems for oil & gas verticals. We are a fast-paced data science team in the Azure Global Group, building deep learning powered intelligent tools and end-to-end solutions. We are looking for a data scientist with initiative, strong problem solving, design, coding, and debugging skills to help us deliver high-quality machine learning models and solutions for oil and gas customers. We value passion, creativity, desire to learn new complex technical areas, agility and accountability. You will be a meaningful part of a growing team of motivated and talented individuals. This is an excellent opportunity to challenge yourself and grow your career. As part of the role, you will help develop deep-learning based models and tools for oil & gas applications such as seismic image processing, oil price forecasting, well production prediction, facies classification etc. You would also work on predictive and prescriptive modeling, text and image mining & processing, recommendations, clustering, forecasting methods, and other advanced statistical techniques. Responsibilities RESPONSIBILITIES In this role, you will collaborate with experts in deep learning, machine learning, and distributed systems. You will partner with program management and Azure engineering teams to help drive the successful adoption of Azure in some of our largest accounts and will drive product changes and gap closure with the various product teams across the organization. You will work on all aspects of the design, development and delivery of machine learning and deep learning solutions, including problem definition, data acquisition, exploration, training, testing and evaluating deep learning models, and creating end-to-end pipelines and solutions in production. Qualifications REQUIRED QUALIFICATIONS Masters or PhD with 1-2 year of industry experience in machine learning or deep learning Excellent verbal and written communication skills Proficiency in Python Familiarity with a version control system. Excited to work on an inclusive and diverse team Excellent analytical and problem-solving skills. Outstanding communication and collaboration skills Very strong research, theory and algorithm background with the ability to apply advanced knowledge on real challenges. PREFERRED QUALIFICATIONS Background in oil & gas PhD /MS/BS degree in Electrical Engineering, Computer Science or an equivalent technical field Experience in any of the deep learning frameworks (PyTorch, TensorFlow) System-level knowledge of deep learning (such as GPU or FPGA implementations) a plus Strong software development skills in one or more high level languages (C/C++/Java/C#) and one or more scripting languages (Python/R/javascript) Publications in related fields (deep learning, machine intelligence, data mining, etc.) preferred Experience building production grade machine learning enabled solutions end to end. Strong intellectual curiosity and passion to solve real-world problems for enterprises and consumers. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. #AZCAT Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Max Kaznady | Posted on: 2019-06-19 15:18:40 UTC

Senior Software Engineer - 3D Perception

Allvision IO, Inc | Pittsburgh, PA

Allvision is looking for a talented, software-focused engineer to join the team building our 3D object detection and classification pipeline. This pipeline is built to ingest, fuse, compress, and analyze massive amounts of vehicle-mounted sensor data quickly and cost-effectively. To do this well, we must deeply understand not only the sensors themselves (LiDAR, photo/video, GPS, IMU, radar) but also how to efficiently and intelligently process their measurements into useful information. We achieve this through novel approaches to 3D scene understanding using machine learning and cloud computing. Qualified applicants will have meaningful experience programming in C++ and Python, as well as some professional background in a related domain like Robotics, Computer Vision, Machine Learning, Computational Geometry, or Physics. Experience with LiDAR and/or vehicle-mounted sensors (e.g. autonomous vehicles) is a big plus.

More info | Contact: Ryan Frenz | Posted on: 2019-06-19 15:15:34 UTC

Computer Vision R&D Scientist

UtopiaCompression Corporation (UC) | Los Angeles, CA 90064

Description: UC is seeking a Computer Vision Scientist to support its vision technology programs. In this role, you will be required to lead UC’s computer vision algorithm and software development efforts. You will be responsible for designing and developing computer vision and machine learning algorithms applied to multiple products. This will involve mathematical modeling and analysis, algorithm development, software prototyping and product development. Basic Requirements: · Ph.D. in Computer Science/Electrical Engineering/Applied Mathematics, or M.S. w/5+ years’ experience · Strong background in Computer Vision, Machine Learning, and Image/Video Processing (detection, tracking, classification, online learning, active learning, deep learning, event analysis, etc.) · Contributions to peer-reviewed vision conferences/journals Strong programming skills in C++, Python, MATLAB Desired Expertise/Experience: · Post-doctoral experience is a strong plus · Prior experience in executing R&D projects · Experience in writing proposal and winning grants Hands-on experience with EO and/or IR sensors and optical systems · Experience programming and developing on GPUs or other embedded systems To apply, send your resume to: innovate@utopiacompression.com with the job title as the subject. UtopiaCompression Corporation (UC), based in Los Angeles, CA is a High-Tech Company with considerable expertise in intelligent software solutions. UC develops cutting edge technologies for: · Computer vision and video analytics · Planning and control for robotic systems · Unmanned system autonomy · Tactical wireless communication networks · Biomedical signal processing, clinical decision-support systems and data mining · Intelligent Tutoring Systems UC offers a challenging and exciting environment to conduct R&D on high-risk high-reward technologies with the potential of bringing in transformational changes to state-of-the-art.

More info | Contact: Jessica Aras / Administrative Assistant | Posted on: 2019-06-17 15:52:03 UTC

Machine Learning/Artificial Intelligence Scientist

UtopiaCompression Corporation (UC) | Los Angeles, CA 90064

Description: UC is currently seeking a Machine Learning (ML) / Artificial Intelligence (AI) Scientist to support a diverse range of programs including: collaborative UAV navigation, scene understanding and activity/event analysis in video tracks, situated and collaborative agent theories, object detection from SONAR images, taxonomy classification, medical diagnostics and training, and many problems in computer vision-aided detection, tracking and classification. The candidate will also aid in text mining, social network, and wireless communications research. The candidate must have strong writing and communication skills and will be expected to participate in as well as lead efforts to procure funding through grant proposals. Basic Requirements: · PhD/Post-Doc in computer science or electrical engineering with a focus on ML & AI · Deep and diverse knowledge of AI concepts and variety of ML regimes, including deep learning · Strong programming skills in C++ and Python · Strong fundamentals in mathematics, statistics, probability theory, algorithms Desired Experience · Experience with big data algorithms and systems · Theoretical background in convolutional neural networks and experience with tensorflow · Experience with computer vision · Experience with developing agents with cognitive and affective/emotional capabilities · Prior experience in executing R&D projects and software design and development · Publications in conferences and journals · Prior experience in writing research grants · Experience with algorithm parallelization, GPUs, and/or embedded systems development is a plus To apply, send your resume to: innovate@utopiacompression.com with the job title as the subject. UtopiaCompression Corporation (UC), based in Los Angeles, CA is a High-Tech Company with considerable expertise in intelligent software solutions. UC develops cutting edge technologies for: · Computer vision and video analytics · Planning and control for robotic systems · Unmanned system autonomy · Tactical wireless communication networks · Biomedical signal processing, clinical decision-support systems and data mining · Intelligent Tutoring Systems UC offers a challenging and exciting environment to conduct R&D on high-risk high-reward technologies with the potential of bringing in transformational changes to state-of-the-art.

More info | Contact: Jessica Aras / Administrative Assistant | Posted on: 2019-06-17 15:51:03 UTC

Research Interns

OMRON SINIC X | Tokyo, Japan

OMRON SINIC X is the OMRON group's research start-up company located in Tokyo, Japan. We are seeking highly motivated research interns to work with our computer vision and robotics teams. Applicants should have i) experience and strong interest in at least one of the following research fields: computer vision (3D vision, vision and language, human sensing), machine learning (domain adaptation, meta learning, reinforcement learning), and robotics (robotic skill learning, soft robotics, learning manipulation, task planning); ii) a strong publication record in either computer vision, machine learning, or robotics conferences; and iii) programming experience in either deep learning frameworks (TensorFlow, PyTorch, etc.) or ROS. Accepted applicants will be expected to work full time in our Tokyo office for 3-6 months.

More info | Contact: Yuko Tsunoda | Posted on: 2019-06-17 15:49:46 UTC

Compiler Engineer

Mythic-AI | Austin, TX or Redwood City, CA

Mythic's platform delivers the power of a GPU in a single low-power chip supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using 8-bit non-volatile memory arrays which has been under development since 2012. This step change in performance brings in a range of new applications in a broad array of verticals, including safety and security, autonomous vehicles, VR/AR, robotics and media. Mythic is a fast-growing company over 75 employees, $56M in funding from top tier investors, and >$1M NRE revenue from two existing customer accounts. Mythic's investors include Softbank, DFJ, Lux Capital, and Data Collective. We are looking from someone with a strong educational background in compilers and related areas (algorithms, languages, systems). They have several years of industry experience in designing and developing a core compiler component. We strongly prefer at least one of the following: a research record, expert knowledge in some compiler or compile related domain, contributions to an open source infrastructure, experience retargeting LLVM, GCC or some other retargetable compiler infrastructure, linear algebra compilers, experience with a compiler related technology (profiling, static analysis,..), compiling to hardware. For example, you might have a master's degree with compiler and algorithms course, implemented and you have spent several years at a job developing the IR of custom compiler. Compilers is a rich area, and we know there are many paths to excellence in compilers. We would be pleased to consider all resumes. We do want to invite a colleague with a good enough start to be successful at Mythic and who will continue to grow.

More info | Contact: Justin Hopper | Posted on: 2019-06-17 15:49:05 UTC

Software Engineer (DNN Co-Design)

Mythic | San Francisco, CA

Mythic is seeking Software Engineers for the Deep Neural Network (DNN) Co-Design team. The DNN Co-design team works with Mythic's product, deep learning, compiler, and hardware teams to build software tools and pipelines to help our customers bring high-performance neural network AI solutions to market on Mythic hardware. We are looking for engineers with strong production programming, debugging and maintenance skills with experience shipping and maintaining software product. A deep learning background is not necessary, but experience with robust software development practices and the ability to create solutions for challenging technical problems is a must. This position is ideal for an experienced software engineer who wishes to learn more about deep learning applications and be responsible for shipping and maintaining Mythic's core software tools. Engineers will be responsible for building, debugging, deploying and maintaining Mythic's co-design software stack as it transitions from prototyping and R&D phases into production. The engineer will work with Tensorflow, ONNX, Keras, Pytorch and other common deep learning frameworks, as well as the Mythic's compiler, simulator, and firmware tools to assemble a reliable, easy-to-use software solution for customers. Co-design engineers need strong programming skills in Python, familiarity with C/C++, experience with continuous integration, deployment and maintenance of software packages, and experience working on customer-related issues. The position is open to strong individual contributors with advanced programming experience as well as hands-on managers/leads who can function as an individual contributor while growing a team from scratch. Mythic is a strong growth opportunity. As an individual contributor, you can expect to develop your skills and experience in deep learning production systems and work independently and autonomously on a world-class product. As a manager/lead, you can expect to build a top-notch team, receive additional training, and take responsibility for delivering and maintaining Mythic's core software product.

More info | Contact: Justin Hopper | Posted on: 2019-06-17 15:47:09 UTC

Machine Learning and Data Science Sr. Staff Engineer (Office of CTO)

Poly | Austin, Texas or US Remote

Poly is advancing the state-of-the-art in what is possible for communications, bringing advanced technology into every conversation. Our work enables humans to connect and communicate more effectively. As part of that effort, we have a need for a Machine Learning and Data Analytics Sr. Staff Engineer in the Office of the CTO. The successful candidate will work with the team adding deep learning and data analytics capabilities to Poly’s video and audio offerings. You will design, implement, ship, and support modules empowering Poly’s product by adding learning and data analytics capabilities. Keep abreast of developments in machine learning and data analytics, through research into new trends, as well as occasional travel to appropriate conferences and meetings. Engage with product and engineering teams to understand the needs for new data-driven features and capabilities in future products, and work to deliver reusable software to meet these needs. Work as needed with broad group of people (internal engineering, internal product and design teams, external customers, standards organizations, etc.) to both understand industry and product direction, and to articulate the vision Poly has for leveraging data and machine learning for our products in the marketplace.5+ years’ experience in building user-focused applications or products leveraging user data to provide an enhanced experience. 2+ years’ in machine learning technologies, including deep-learning (RNN/CNN) technologies. 2+ years of data analytics or data science experience. Experience developing applications in one or more deep learning environments. Understanding of the concepts related to training deep learning models, as well as inference using models at the edge.

More info | Contact: Elizabeth Soriano | Posted on: 2019-06-17 15:37:15 UTC

Computer Vision & Learning Engineer (Office of CTO)

Poly | Austin, Texas or US Remote

Poly is advancing the state-of-the-art in what is possible for communications, bringing advanced technology into every conversation. Our work enables humans to connect and communicate more effectively. As part of that effort, we have a need for a Computer Vision & Learning Engineer in the Office of the CTO. The successful candidate will work with the team adding advanced computer vision and deep learning capabilities to Poly’s video and audio offerings. You will design, implement, ship, and support modules offering enhanced vision and learning capabilities for use in products across the Poly product portfolio. Keep abreast of developments in machine learning and computer vision, through research into new trends, as well as occasional travel to appropriate conferences and meetings. Engage with product and engineering teams to understand the needs for vision and learning technology in future products, and work to deliver reusable software to provide this capability. Work as needed with broad group of people (internal engineering, internal product and design teams, external customers, standards organizations, etc.) to both understand industry and product direction, and to articulate the vision Poly has for machine learning and computer vision in the marketplace. Qualifications: 5+ years developing video and/or learning related products.2+ years’ experience in bringing deep learning technologies to product, including RNN/CNN technologies. Experience with one or more of classifiers (including design and training), object-detection systems, and tracking systems in real-time. Deep understanding (2+ years) of computer vision technologies. Experience developing applications in one or more deep learning environments. Domain knowledge of video codec technology, cameras, or audio processing a strong plus.Bachelor’s degree in computer science, a related engineering discipline, mathematics, physics or similar area required. Advanced degree a plus. Experience with one or more machine learning hardware environments. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, sexual orientation or on the basis of disability.

More info | Contact: Elizabeth Soriano | Posted on: 2019-06-17 15:36:38 UTC

Automotive Computer Vision Researcher

Algolux | Montreal, Canada

More info | Contact: Karina Muller | Posted on: 2019-06-17 15:35:52 UTC

Post-docs in Deep Learning, Computer Vision and Robotics

Czech Technical University in Prague and Inria in Paris |

We are looking for post-doctoral researchers in Deep Learning, Computer Vision and Robotics at the recently created Intelligent Machine Perception team (Josef Sivic, Tomas Pajdla, Francis Bach, Ivan Laptev, Jean Ponce, Vaclav Hlavac) spanning Czech Technical University in Prague and Inria in Paris. The positions are in Prague but include the possibility of extended stays at Inria in Paris. We are looking for candidates who have completed their PhD in computer vision, machine learning or robotics and have a proven track-record of publications in top conferences and journals. We offer competitive salary and work on cutting edge research with high-impact applications in autonomous driving, smart assistive robotics or augmented reality. The position includes the possibility of participating in teaching and co-advising MSc or PhD students. Follow-up tenure track openings are also available. For more details please see: http://impact.ciirc.cvut.cz; http://aag.ciirc.cvut.cz/

More info | Contact: Tomas Pajdla | Posted on: 2019-06-17 15:34:11 UTC

Research Scientist – Computer Vision and Machine Learning

ObjectVideo Labs | Washington, DC Area

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. The successful candidate will also have ample opportunities to lead projects based on their generated ideas. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research. Areas of interest include but are not limited to: face detection/verification/recognition; face-based liveness detection and anti-spoofing; moving object detection and tracking; object classification/recognition/identification; 3D reconstruction; activity detection and classification; and scene classification and segmentation. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background in related fields with a strong publication record, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

More info | Contact: Melissa Kalagher | Posted on: 2019-06-17 15:33:03 UTC

Research Scientist in Face Recognition

ISM | Cambridge, Ma

ISM is building a face recognition team in Cambridge. So far, we are two Ph.D.s building the product and shipping algorithms. We are looking to significantly expand the team, and push the limits of what face recognition can do. We're at CVPR -- please reach out to us while we are here. ISM is a 50+ person company, selling into big events with 50,000+ people (sporting events, rock star events, etc.)

More info | Contact: Samson Timoner | Posted on: 2019-06-17 15:30:18 UTC

Sr. Machine Learning Scientist

Hyperfine | New York, NY

Hyperfine (a 4Catalyzer Company, https://hyperfine.io) is a well-funded, rapidly growing medical technology company founded in 2014 by Jonathan Rothberg, PhD. Today, 90% of the world population does not have access to MRI. Hyperfine is on a mission to bring MR technology to every patient anywhere, anytime, regardless of income or resources. Hyperfine builds a breakthrough medical device that has never been built before - bridging cutting-edge electrical, mechanical and software engineering with artificial intelligence, thereby bringing down device costs, reducing device size, increasing usability. Hyperfine has a world-class team of physicists, engineers and scientists, whose focus is to build this innovative device that can save the lives of the ones we love and democratize medicine around the world. If you have a background in MR, deep learning, electrical engineering, physics, or related fields, apply to join our interdisciplinary team of passionate, driven people based in Guilford, CT and New York, NY. Job Description: We are looking for talented Scientists with applied experience in the fields of Computer Vision and Machine Learning to join us. This role is best suited for scientists interested in continuing to develop new machine learning algorithms while also having a direct and immense, real-world impact. Responsibilities: • Work alongside other research scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products. • Train various deep learning models including, but not limited to, classification detection, segmentation, reconstruction, and generative adversarial networks. • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences. • Build automated solutions for large-scale, patient-facing, clinical problems. • Formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary. • Work independently and with a minimum of supervision.

More info | Contact: Michal Sofka | Posted on: 2019-06-17 15:26:14 UTC

Open position at NASA JPL in machine learning

NASA Jet Propulsion Laboratory (JPL) | Pasadena, CA

The NASA Jet Propulsion Laboratory (JPL) Perception Systems Group in the Mobility and Robotic Systems Section is seeking a postdoctoral researcher in the area of machine learning, statistics, and computer vision for a variety of technology development projects. The position is for one year, renewable for two more years, with the possibility of converting to full-time researcher position at JPL. The research task aims to improve prediction models using machine learning. In particular, the focus is on determining most significant features and control parameters for earth-based resource production model, which could also serve as a base for in-situ resource utilization / production on moon, Mars, or another body in the solar system. The ideal candidate has a balance of strong theoretical results and good practical skills in machine learning. Background geology could be beneficial. PhD students nearing the end of their program are welcome to apply. Candidates should provide a cover letter and CV by emailing to Dr. Yumi Iwashita ( Yumi.Iwashita@jpl.nasa.gov ) with cc to Corey Mack ( corey.a.mack@jpl.nasa.gov ).

More info | Contact: Yumi Iwashita | Posted on: 2019-06-17 15:25:13 UTC

Engineer in Face Recognition

ISM | Cambridge, Ma

ISM is building a face recognition team in Cambridge. So far, we are two Ph.D.s building the product and shipping algorithms. We are looking to significantly expand the team, and we need help building and deploying the product. We're at CVPR -- please reach out to us while we are here. ISM is a 50+ person company, selling into big events with 50,000+ people (sporting events, rock star events, etc.)

More info | Contact: Samson Timoner | Posted on: 2019-06-17 15:23:56 UTC

Computer Vision/Machine Learning Engineer

edgetensor | Bengaluru, India

edgetensor is well funded startup based in USA and we are looking to hire exceptional candidates in Bengaluru, India with the following requirements: 1) Computer Vision and Machine Learning engineer with in-depth technical background, 1-2 years of C++11 and python coding experience along with hands on experience in CV/ML algorithm development and optimization. 2) Must have good grasp over the fundamentals of low level computer vision. 3) Must be familiar with deep learning architectures, understand computational complexity of network architectures and each layer, loss functions and evaluation metrics 5) Familiarity with Linear Algebra and various loss functions used in machine learning/computer vision domains. 4) Excellent C++11/14 coding skills with best practices, knowledge of STL library and features, data structures, programming pattern, experience with debugging and build tools.

More info | Contact: Rajesh Narasimha | Posted on: 2019-06-17 15:22:48 UTC

Research Scientist in Machine Learning and 3D Scene Understanding

Valeo.ai | Paris, France

Valeo.ai, artificial intelligence research lab based in the center of Paris and part of tier-one automotive supplier Valeo, is hiring research scientists both in 3D scene understanding and in machine learning to conduct ambitious research projects towards assisted and autonomous driving.

More info | Contact: Patrick PEREZ | Posted on: 2019-06-17 15:21:50 UTC

Machine Learning Researcher

Darwinai | Toronto/Waterloo, Canada

DarwinAI is an Artificial Intelligence startup based in Waterloo, Ontario. Our technology, stemming from years of scholarship by our academic team from University of Waterloo, uses AI to enable responsible AI everywhere. We are productizing our IP around optimization and explainability in a robust and compelling manner. Specifically, to develop a suite of powerful deep learning tools that enable and accelerate AI for numerous operational scenarios including autonomous vehicles and sophisticated consumer electronics. This is where you come in… Our ideal candidate possesses: • PhD in Computer Science, Machine Learning or a related technical field. • Strong theoretical foundation in machine learning, deep learning, and artificial intelligence techniques. • Experience in at least one of the following areas: natural language processing, computer vision, speech recognition. • Practical experience with at least one of the following deep learning libraries: Tensorflow, Pytorch, Caffe/Caffe2. • Solid publication record in a relevant area. • Programming skills in Python, C, C++. • Excellent teamwork and collaboration. • Flexibility in working across all functions and levels as part of a team. We are part of Canada’s Global Talent Stream program and can sponsor qualified candidates.

More info | Contact: Mohammad Javad Shafiee | Posted on: 2019-06-17 15:20:38 UTC

Researcher

Artificial Intelligence Researcher Center, DVN GL | Shanghai, China

The Artificial Intelligence Research Centre is a new section within Group Technology and Research (GTR) established in Shanghai in early 2019. GTR currently runs seven other research programs: four are oriented towards the main industries we serve: Maritime, Oil & Gas, Power & Renewables and Precision Medicine. Three programs address cross-industry challenges: Digital Assurance, Ocean Space and Energy Transition. The new section will focus on building competence and prototypes in the area of perception AI with the aim to use machine and deep learning applied to computer vision in the industries served by DNV GL. Position Responsibilities The successful candidate will manage and execute research projects within the Artificial Intelligence Research Centre. He/She will report to the head of the section and be responsible for the following tasks: · Develop algorithms for detecting physical industrial asset condition and anomalies and using these for enhancing audit/inspection/survey and assurance services · Enhance algorithms to handle multi-sensor input · Create or enhance existing DL algorithms to be capable of detecting patterns in images without background · Develop concepts for assurance of advanced IoT devices comprising cameras and DL algorithms · Manage and execute technology development projects · Author technical reports, scientific papers, non-technical reports and professional presentations Position Qualifications The successful candidate should have · Ability to deliver project results within agreed schedules · Ability to articulate work results to internal and external stakeholders · Experience in software development, particularly machine learning techniques in computer vision · Good command of English · Master or PhD Degree in relevant area, preferably computer science Company & Business Area Description DNV GL is a global quality assurance and risk management company. Driven by our purpose of safeguarding life, property and the environment, we enable our customers to advance the safety and sustainability of their business. We provide classification, technical assurance, software and independent expert advisory services to the maritime, oil & gas, power and renewables industries. We also provide certification, supply chain and data management services to customers across a wide range of industries. Combining technical, digital and operational expertise, risk methodology and in-depth industry knowledge, we empower our customers’ decisions and actions with trust and confidence. We continuously invest in research and collaborative innovation to provide customers and society with operational and technological foresight. With origins stretching back to 1864 and operations in more than 100 countries, our experts are dedicated to helping customers make the world safer, smarter and greener. Equal Opportunity Statement DNV GL is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity!

More info | Contact: Yanzhi Chen | Posted on: 2019-06-17 15:19:51 UTC

Deep Learning Software Developer

Algolux | Montreal, Canada

Algolux improves vehicle safety and system performance while reducing program risks. Algolux constantly strives to be on the cutting edge of autonomous vision to enable safer vehicles. We’re looking for exceptional individuals to help us achieve breakthroughs in deep learning, computer vision, and computational imaging. As an Algolux Deep Learning Software Developer, you'll work on Computer Vision projects porting our core algorithms to embedded platforms. The ideal candidate can implement Convolutional Neural Network (CNN) architectures and scientific algorithms on selected hardware (e.g. GPU, multi-core ARM CPU, DSP) based on performance, power, and size constraints. Key responsibilities: Implementation/Porting of TensorFlow algorithms to embedded automotive platforms. Practical experience with Nvidia toolchain for Jetson TX2 and Drive PX2 is desired. Serve in a leadership capacity for carrying out embedded software development in C, C++, DSP Assembly or other selected languages. Design and/or review architected modules and software systems supporting new technology or improving capability/performance of existing functionality. Write application software on automotive DNN platforms, such as Nvidia, Movidius, Qualcomm and Renesas. Research fundamental problems and implement algorithmic solutions that are appropriate. Estimate scope, duration, effort and risk on project proposals. Requirements: TensorFlow, TensorRT and/or other embedded vision processing tools. Optimization experience on embedded GPU and DSP platforms: Nvidia, ARM. Parallelized & vectorized computation. Solid GPU programming experience using CUDA, cuDNN, cuBLAS. Excellent C, C++ programming skills. Experience in signal processing algorithms and implementation. Experience in GPU programming using OpenCL. Experience in Python programming. Please visit our booth at the conference! You can also send your cv to: karina.muller@algolux.com

More info | Contact: Karina Muller | Posted on: 2019-06-17 15:13:42 UTC

Software Engineer– Augmented Reality – Platform (f/m/d) (Junior / Senior / Principal)

PTC | Vienna，Austria

Looking for your next big challenge? You’ve found it! Do you want to change the way we create our new interconnected world? Are you passionate to drive the future of technology driven innovation? If you’re curious, collaborative and motivated, then PTC is looking for you! Your Team: We are a world-class team of engineers working on Vuforia, a market-leading mobile Augmented Reality (AR) platform powering PTC’s AR product portfolio. We are based in the beautiful city of Vienna, Austria, which repeatedly gets the top rank in Mercer’s Quality of Living survey. We love developing easy-to-use, high-performance, robust software solutions to address real-world challenges of our customers using AR. Our team has a diverse skill set including developing computer vision algorithms and machine learning, coding for multiple mobile and digital eyewear platforms, and testing our software in a wide range of environments. Your Impact: Vuforia is the leading AR platform. Our technology has been adopted by a global ecosystem of more than 600,000 developers and partners, who have developed more than 60,000 applications for consumer and industrial use on a range of handheld and headworn devices. As a Software Engineer, you will contribute to the development of the Vuforia Engine, a cross-platform AR SDK leveraging computer vision and deep learning to deliver robust AR experiences in a variety of environments. While the Vuforia Engine gets released as a standalone product, it also powers Vuforia Studio, a tool for authoring and publishing industrial AR experiences, and the AR Remote Assistance application Vuforia Chalk. Your Day-To-Day: You develop state-of-the-art AR technology and build new features in the Vuforia Engine that our developers will love. You put yourself into your users’ shoes when designing software interfaces and documenting your work. You write code for multiple mobile and eyewear platforms and devices, and keep it robust, fast and easy-to-test. You help your team by contributing to code reviews and improving the Vuforia software stack and developer toolset. As part of the platform team your work will cover areas as diverse as camera access, video rendering, GPGPU, networking as well as integrating with platform AR enablers such as ARKit, ARCore and Windows MR. You will be working on a complex suite of multi-threaded software and keep your eyes on performance to deliver the best AR user experience. Your Skills and Knowledge: • Bachelor’s degree or higher in Computer Science or a related area • Commercial software development experience with C++ and excellent problem-solving skills • Experience with mobile or eyewear app development with at least one of the following platforms is a plus: iOS, Android, UWP, HoloLens • Familiarity with multi-threaded and asynchronous programming is a plus • Familiarity with AR systems is a plus • Experience with Python and Continuous Integration is a plus • Good verbal and written communication in English If you are interested in this opportunity, please send your application to Aoife Miliano at amiliano@ptc.com

More info | Contact: Aoife Miliano | Posted on: 2019-06-17 15:07:58 UTC

Deep Learning / AI Engineer (f/m/d)

PTC | Zurich，Switzerland

Looking for your next big challenge? You’ve found it! Do you want to change the way we create our new interconnected world? Are you passionate to drive the future of innovation? If you’re curious, collaborative and motivated, then PTC is looking for you! Your Team: We are a world-class, international team of engineers working on Vuforia, a market-leading mobile Augmented Reality (AR) platform powering PTC’s AR product portfolio. You will join a talented team focused on using deep learning to solve difficult computer vision problems and enable AR experiences on all types of objects and surfaces. The team is based in Zürich, Switzerland, which consistently ranks at the top of Mercer’s Quality of Living survey. Your Impact: As a member of the Vuforia deep learning team, you will create new and innovative features for the Vuforia platform, which has been adopted by a global ecosystem of more than 500,000 developers and partners, who have developed more than 60,000 applications for consumer and business use on a range of handheld and head worn devices. In addition, you will have a direct influence on the adoption of deep learning and AI technologies within Vuforia and PTC. Your Day-To-Day: You will work within a team of deep learning engineers to design algorithms and networks to add new computer vision capabilities to the Vuforia platform. You will run experiments and create test datasets to validate the effectiveness of these new algorithms and networks to ensure that the solutions are accurate and efficient. You’ll stay up to date on the latest research, by reading papers and attending CV or machine learning conferences, and follow the developments of AI technologies in general. You’ll interact daily with deep learning frameworks using Python and C++ as well as reviewing code and results from your fellow team members. Your Skills and Knowledge: MSc or PhD in Computer Science, Information Science or Electrical Engineering In-depth understanding of deep learning, machine learning and AI technologies Hands-on experience with at least one deep learning framework, such as Caffe, TensorFlow, etc. Computer Vision background is a strong plus Good verbal and written communication in English If you are interested in this opportunity, please send your application to Aoife Miliano at amiliano@ptc.com

More info | Contact: Aoife Miliano | Posted on: 2019-06-17 15:06:40 UTC

Machine Learning Engineer

ObjectVideo Labs | Washington, DC Area

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research. The main job responsibility of the candidate will be working with computer vision scientists and engineers to develop, evaluate, and optimize machine learning and deep learning methods for a wide range of computer vision tasks, including face detection/verification/recognition; face-based liveness detection and anti-spoofing; moving object detection and tracking; object classification/recognition/identification; 3D reconstruction; activity detection and classification; and scene classification and segmentation. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background and work experience in using machine learning and deep learning to solve computer vision problems, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

More info | Contact: Melissa Kalagher | Posted on: 2019-06-17 15:05:46 UTC

Research Scientist | Applied Research Scientist | Computer Vision Engineer

Deep North Inc. - AI for the Physical World | Foster City, CA

Deep North is a computer vision company focused on delivering AI to the physical world. Deep North’s end-to-end software and hardware solutions combine artiﬁcial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of eachindividual at the highest possible standards of anonymization. You will: • Research and develop cutting-edge perception algorithms: detection, tracking, classification, and re-identification. • Optimize our solution for production and edge deployment. We are looking for: • MS or Ph.D. in Computer Science or related fields. • Strong computer vision and deep learning background • Strong Python and C++ programming and experience in one or more of the following libraries: PyTorch, Keras, Darknet, CUDA, TensorRT. • Able to communicate with a diverse team composed of experts and novices, in technical and non-technical roles. Our ideal candidate is an expert in person/vehicle re-identification, has the experience required to transform research ideas into production and the drive to build the best re-identification solution in the market. If interested, please email your CV/Resume to abner.ayala@deepnorth.com and if it’s a match let’s meet face-to-face. I will be attending the Vehicle Re-Identification workshop.

More info | Contact: Abner Ayala-Acevedo | Posted on: 2019-06-16 14:47:03 UTC

Research Scientist | Applied Research Scientist | Computer Vision Engineer

Deep North Inc. - AI for the Physical World | Foster City, CA

Deep North is a computer vision company focused on delivering AI to the physical world. Deep North’s end-to-end software and hardware solutions combine artiﬁcial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of each individual at the highest possible standards of anonymization. You will: • Research and develop cutting-edge perception algorithms: detection, tracking, classification, and re-identification. • Optimize our solution for production and edge deployment. We are looking for: • MS or Ph.D. in Computer Science or related fields. • Strong computer vision and deep learning background • Strong Python and C++ programming and experience in one or more of the following libraries: PyTorch, Keras, Darknet, CUDA, TensorRT. • Able to communicate with a diverse team composed of experts and novices, in technical and non-technical roles. Our ideal candidate is an expert in person/vehicle re-identification, has the experience required to transform research ideas into production and the drive to build the best re-identification solution in the market. If interested, please email your CV/Resume to abner.ayala@deepnorth.com and if it’s a match let’s meet face-to-face. I will be attending the Vehicle Re-Identification workshop.

More info | Contact: Abner Ayala-Acevedo | Posted on: 2019-06-16 14:45:36 UTC

CV/ML engineer, AI for environment

WattTime (watttime.org) | Oakland, CA (or remote)

Do you want to apply your skills to some of the biggest energy and climate work happening today? WattTime, an environmental tech nonprofit, has an immediate opening for a talented and innovative expert in ML. We need you to help build, train, and deploy an AI framework that estimates power plant emissions around the globe. This radical project is part of the Google AI Impact challenge, and you will get to work with a collaborative, diverse team comprised of members from Google AI, Google.org, WattTime, and our partners. The impact of this work has already caught the attention of Bloomberg, CleanTechnica, Grist and more; as Vox proclaimed, “We’ll soon know the exact air pollution from every power plant in the world. That’s huge.”

More info | Contact: Katie Ryan | Posted on: 2019-06-16 14:44:36 UTC

AI Engineer (Senior and Junior)

Grab Technologies | Seattle, WA

Grab is at the forefront of transforming the digital economy in Southeast Asia. Grab is a leading ride hailing platform in Southeast Asia with operations in 8 countries. Beyond ride-hailing, Grab builds and operates logistics, food delivery, and mobile payments, and financial services. Grab’s AI Accelerator team enables new features and products for Grab with innovations in AI. We develop and apply deep learning and machine learning to our huge datasets and wide-ranging applications. We are looking for talented engineers with a passion to deploy machine learning systems to improve our customers' lives. Find me at the conference and let's have a coffee!

More info | Contact: Patrick Nguyen | Posted on: 2019-06-16 14:43:31 UTC

AI Scientist (Senior and Junior)

Grab Technologies | Seattle, WA

Grab is at the forefront of transforming the digital economy in Southeast Asia. Grab is a leading ride hailing platform in Southeast Asia with operations in 8 countries. Beyond ride-hailing, Grab builds and operates logistics, food delivery, and mobile payments, and financial services. Grab’s AI Accelerator team enables new features and products for Grab with innovations in AI. We develop and apply deep learning and machine learning to our huge datasets and wide-ranging applications. We are looking for talented scientist with a passion to deliver end to end machine learning models to improve our customers' lives. Find me at the conference and let's have a coffee!

More info | Contact: Patrick Nguyen | Posted on: 2019-06-16 14:43:09 UTC

AI Engineering Manager

Grab Technologies | Seattle, WA

Grab is at the forefront of transforming the digital economy in Southeast Asia. Grab is a leading ride hailing platform in Southeast Asia with operations in 8 countries. Beyond ride-hailing, Grab builds and operates logistics, food delivery, and mobile payments, and financial services. Grab’s AI Accelerator team enables new features and products for Grab with innovations in AI. We develop and apply deep learning and machine learning to our huge datasets and wide-ranging applications. We are looking for a manager to lead our team of engineers. A track record of shipping machine learning in production environments from scratch is appreciated. Find me at the conference and let's have a coffee!

More info | Contact: Patrick Nguyen | Posted on: 2019-06-16 14:42:47 UTC

AI Science Manager

Grab Technologies | Seattle, WA

Grab is at the forefront of transforming the digital economy in Southeast Asia. Grab is a leading ride hailing platform in Southeast Asia with operations in 8 countries. Beyond ride-hailing, Grab builds and operates logistics, food delivery, and mobile payments, and financial services. Grab’s AI Accelerator team enables new features and products for Grab with innovations in AI. We develop and apply deep learning and machine learning to our huge datasets and wide-ranging applications. We are looking for a manager to lead our team of scientists. A track record of innovation and product impact is appreciated. Find me at the conference and let's have a coffee!

More info | Contact: Patrick Nguyen | Posted on: 2019-06-16 14:42:21 UTC

Computer Vision Engineer

microsoft | Redmond

It has never been a more exciting time for AI and Computer Vision at Microsoft. Microsoft is making big investments in this area and taking great strides forwards. We continue to advance the state of the art and impact Microsoft, the industry and our customers by taking AI and Computer Vision applications to everyone including consumers, developers and businesses. Team intro/culture statement We in Computer Vision at Microsoft are at the frontier of creating technologies with Vision & AI that use Scene, Object and Human Understanding with computational frameworks spanning Intelligent Devices, such as Hololens and Smartphones, and an Intelligent Cloud for ubiquitous intelligence. We are a growing team of talented researchers, engineers and artists putting technology on all devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, connected to Microsoft’s Intelligent Cloud. There will be a better way for people to work and play in a human and physical world through Augmentation of Humans and Machines. Come join us in creating this future!  Responsibilities We are looking for a software engineer (Computer Vision) to join our team. You will be part of a group that uses the latest engineering practices, works on cutting-edge technologies, and solves complex problems in Mixed Reality, Computer Vision and Machine Learning. You will build algorithms and software in computer vision, mixed reality and machine learning. You will deliver product quality software. What you'll need Basic Qualifications: BS or MS in Computer Science / Engineering, Electrical Engineering or similar technical field. Experience in building software and algorithmic software for vision, signal processing and/or Mixed Reality and applications in related areas. Proficiency in software development and practical knowledge of one or more programming skills such as C, C++, C#, Python, or equivalent Preferred Qualifications: Industry experience in algorithm and software development. Strong communication skills for effective technical and personal team interactions. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-16 14:39:41 UTC

Tenure Track Faculty Positions in Computer Vision

University of Massachusetts | Amherst

In preparation for the posting of multiple tenure track Assistant Professor positions in Data Science, with a special focus on Computer Vision, we will be meeting with potential candidates at CVPR. If you are interested in a 15 minute information session with Prof. Erik Learned-Miller while at CVPR, please contact as soon as possible.

More info | Contact: Erik Learned-Miller | Posted on: 2019-06-16 14:36:10 UTC

Senior/Staff/Principal - Video Standards Engineer (San Diego / Santa Clara, CA)

Qualcomm Technologies, Inc. | California - San Diego

Overview Join Qualcomm Technologies QCT Multimedia group and contribute to the Corporate & Industry-wide initiatives for developing video codec and protocols for multimedia services in wireless networks. Responsibilities: •Contribute to the conception, development, implementation and optimization of new algorithms allowing to further improve coding efficiency over state-of-the-art video codecs such as HEVC. Considerable focus will be placed on compression of High Dynamic Range and Wide Color Gamut content as well as Virtual Reality and 6DoF video. •Consider application of the latest advancements in Machine Learning to video compression. •Actively participate in the related work of standardization forums: JVET, MPEG Video and ITU-T/VCEG. •Participate in the design and implementation of HEVC and future video codecs. •Initiate ideas, design and implement algorithms for superior encoder performance, including perceptually based bit allocation. •Collaborate with hardware and software teams to come up with optimal solutions for various platforms including hardware, ARM and DSP, etc.

More info | Contact: Shashank Sangar | Posted on: 2019-06-16 14:30:44 UTC

Camera Systems Algorithm Engineer – Machine Learning

Qualcomm Technologies, Inc. | California - San Diego

Job Overview The Qualcomm Camera Team is seeking a passionate systems algorithm engineer with focus in machine learning technologies to join the team in San Diego. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU to deliver exceptional pictures, videos, and computer vision capabilities. Responsibilities for the position include the following: Research, Design and Develop novel deep learning vision algorithms for camera processing, computer vision and related areas Optimize deep learning algorithms for on-device inference Propose system and algorithmic design changes to improve machine learning inference speed All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

More info | Contact: Shashank Sangar | Posted on: 2019-06-16 14:29:42 UTC

Camera 3A Systems Engineer

Qualcomm Technologies, Inc. | California - San Diego California - Bay Area Canada China Germany - Munich India - Bangalore Ireland - Cork South Korea Taiwan - Hsinchu Texas - Austin

Overview The Qualcomm Camera Team is seeking a passionate systems algorithm engineer with focus in camera 3A (auto focus, auto exposure auto white balance) to join the team in San Diego. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU to deliver exceptional pictures, videos, and computer vision capabilities. Responsibilities for the position include the following: Research, Design and Develop novel 3A (auto focus, auto exposure auto white balance) algorithms for camera processing Implement and optimize 3A algorithms on device Propose system and algorithmic design changes to improve overall system performance All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.

More info | Contact: Shashank Sangar | Posted on: 2019-06-16 14:29:07 UTC

Camera Systems Engineer

Qualcomm Technologies, Inc. | California - San Diego California - Bay Area Canada China India - Bangalore Ireland - Cork Israel - Haifa South Korea Taiwan - Hsinchu Texas - Austin

Overview Qualcomm Multimedia Systems Group is seeking candidates for its Camera systems team in San Diego, CA. The team focused on imaging system design and development for mobile devices at both high and low levels. We are seeking candidates with technical excellence in Image Processing and the creativity and initiative to apply their technical knowledge to exciting new camera technologies for mobile devices. Responsibilities: The selected candidate will have responsibilities in one or more of the following areas: End-2-end systems development, prototyping and commercialization of new camera features/technologies. Commercialize machine learning solutions for image and camera processing on embedded platforms. Embedded low level camera driver design and development, work throughout the firmware life cycle. Implementation and optimization of pre-processing and post-processing image processing algorithms using various compute engines available on Qualcomm System-on-Chip (SoC) devices.

More info | Contact: Shashank Sangar | Posted on: 2019-06-16 14:28:39 UTC

Camera System Engineer - Architecture, Algorithm, System design, Modeling, Image & Video Quality

Qualcomm Technologies, Inc. | California - San Diego California - Bay Area Canada China Germany - Munich India - Bangalore Ireland - Cork Taiwan - Hsinchu Texas - Austin

Overview Qualcomm QCT Camera team is seeking a passionate camera system engineer to join the QCT team. The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, and machine intelligence. We have multiple positions opening in the following areas: Camera algorithm, sensor and ISP tuning Camera architecture and embedded system SW. Image/video quality Camera modeling Minimum qualification: Academic/experiences in Image processing and/or Video processing and/or digital signal processing and/or color processing Programming skills in C/C++, Matlab, Python and Java Good analytic and problem solving skills Independent work within a fast-paced & collaborative environment with geographically & functionally distributed teams Preferred Qualification: Prefer to have experiences in one or more following areas: ISP (Image Signal Processor) pipeline design, Camera Bayer processing design, Camera processing: denoising, detail enhancement, local tone mapping, high dynamic range (HDR) and color processing design CMOS sensor design Deep learning, machine learning, AI HW/SW architecture, micro-architecture on embedded multimedia system Embedded SW skill for large code base: implementation, integration, debug. Hands-on experience with multi-threaded computing (OpenMP, OpenCL, etc.) and/or SIMD (SSE/AVX) using C/C++ Proficiency with version control tools (P4) & code-tip maintenance using test automation (ABT) Image quality metrics, psychophysical human experiment for image and video quality ISP/3A quality tuning and IQ analysis tool

More info | Contact: Shashank Sangar | Posted on: 2019-06-16 14:28:05 UTC

Qualcomm AI Research - Deep Learning / Machine Learning / Computer Vision Eng.

Qualcomm Technologies, Inc. | California - San Diego , California – Bay Area, Ireland – Cork, Netherlands – Amsterdam, South Korea – Seoul, Taiwan

Overview At Qualcomm AI Research, we are advancing AI to make its core capabilities perception, reasoning, and action ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, were pushing the boundaries of what’s possible and shaping the future of AI. Our key AI research areas: · Power efficiency: Model design, compression, quantization, activation, algorithms, and efficient hardware. · Personalization: Continuous learning, model adaptation, and privacy-preserved distributed learning. · Efficient learning: Robust learning through minimal data, unsupervised learning, and on-device learning. · System architecture: Multi-task and multi-modal learning, sensor fusion, and cloud-edge systems. Desired Qualifications: · Experience in deep networks (CNN, DBN, RNN, LSTM, DCN) or reinforcement learning (RL) · Experience implementing DL/RL algorithms in high-level languages/packages (e.g. Python, C++, Java, MATLAB) · Experience with classification and regression algorithms (e.g. SVM, MLP) · Strong understanding of machine learning algorithms & principles, and numerical optimization · Experience using machine learning toolboxes (e.g. Caffe, TensorFlow, or PyTorch) · Experience implementing machine learning algorithms on embedded platforms · Track record of research excellence and high quality publications · Knowledge of application areas, such as computer vision or speech analysis Roles Available: · Deep Learning Research Engineer · Software Research: Deep Learning Tools and Integration Engineer · Machine Learning Software Engineer · System Integration & Test Engineer, Machine Learning · Autonomous Driving Systems/ Software Engineer · AI/ML/CV Research and Development · Computer Vision Engineer · Extended Reality Engineer · Imagining Technology Engineer

More info | Contact: Shashank Sangar | Posted on: 2019-06-16 14:27:19 UTC

PhD Student Positions

University of Nebraska | Lincoln

We are looking for PhD students that have research experience in image/signal processing, computer vision, and machine learning. Experience with facial recognition, biometrics and/or multi-modal fusion is preferred. Successful candidates will be part of a research team within the ECE Department at the University of Nebraska-Lincoln, where they will research and develop new domain adaption techniques for facial recognition, object detection/classification, etc. Candidates will have access to specialized sensors and equipment, state-of-the-art computing, and unique datasets. The desired qualifications include a master's degree in electrical engineering, computer science, or related field, and strong programming skills (e.g., C/C++, python, pyTorch, Tensorflow).

More info | Contact: Ben Riggan | Posted on: 2019-06-16 14:24:11 UTC

Principal Data Scientist/Computer Vision Engineer

Walmart | Dallas, TX (USA)

Take a leading role in developing new computer vision technology at Walmart, the world’s largest retailer and the Fortune #1 company. Based at the Walmart Technology Center in Dallas, you will be working with a strong team of data scientists and software engineers in a startup-like setting. You will be developing high impact computer vision models to support back office and operational improvements. At Walmart, we help people save money so they can live better. With over 11,000 stores worldwide, the opportunity to be part of delivering high value CV is huge – don’t miss out! We are looking for someone with MS/PhD, strong software engineering capability, and 3+ years solid experience building and deploying CV models into enterprise production.

More info | Contact: Andrew Minteer | Posted on: 2019-06-16 14:23:09 UTC

Lorenzo

Facebook AI | Boston

We are seeking a postdoctoral researcher to work at Facebook AI in Boston. The candidate will be responsible to design novel deep learning methods advancing the field of video understanding. The candidate must have a strong publication record on problems relating to video analysis (e.g., action recognition, motion estimation, tracking, spatiotemporal feature learning, future frame prediction, object detection in video). The position is for up to two years. Pay and benefits are very competitive. Interested candidates should email their CV, the expected date of availability, and the contact information of two references.

More info | Contact: Lorenzo Torresani | Posted on: 2019-06-16 14:21:12 UTC

Computer Vision Reseach Internship (Summer/Fall)

SafeAI | San Francisco, California

The research team is seeking a highly motivated individual to join our summer/fall internship program (full-time or part-time). As a computer vision research intern, you will be uniquely positioned to work on fundamental research in perception such as improving and applying CNN based segmentation, geometric CNNs, convolutional kernel filter based tracking, VO/LO and Lidar/Radar fusion into products. Strong programming skills in Python (C++ is a plus) and hands-on experience with deep learning platforms are expected. You will be involved in all stages of algorithm development from inception and initial implementation to evaluation and all the way to a deployable in real robotics products. You will work with (and mentored by) existing team members with expertise spanning from deploying computer vision, CNNs, DNNs on industrial products to recent Ph.D.’s in computer vision and deep learning. Qualifications and Experience: MS/Ph.D. degree, experienced in localization, mapping, computer vision, visual odometry/vSLAM, CNNs, autonomy perception. Visa sponsorship (H1B/Green card). Competitive salary, full benefits, Contact:lalin@safeai.ai,

More info | Contact: Lalin Theverapperuma (co-founder) | Posted on: 2019-06-16 14:20:05 UTC

Research Scientist/Fellow -- Human-Centric AI

**Agency for Science, Technology and Research (A*STAR)** | Singapore

The A*STAR Human-Centric AI Programme is seeking exceptional researchers to expand our dynamic and multi-disciplinary team. Our current team members have degrees in computer science, information systems, psychology, cognitive science and neuroscience from top global institutions. We work on some of the most crucial, incredibly hard, and future-oriented problems in AI.The goal of our programme is to develop next-generation AI technologies that will enable machines to: 1) Learn like humans from instruction, demonstration, or experience with a small number of examples; 2) Understand humans using knowledge of needs/motivations, social/cultural norms, and commonsense; and 3) Work with humans by explaining their reasoning and providing personalized recommendations based on their understanding of individual users. Our new project brings together researchers studying perception, dialogue, commonsense reasoning, cognitive systems and robotics, and aims to enable machines to truly understand and collaborate with humans.

More info | Contact: Cheston Tan | Posted on: 2019-06-16 14:19:11 UTC

Senior Research Scientist (Computer Vision- 3D CNN)

SafeAI | San Francisco, California

SafeAI is seeking a Senior Computer Vision Scientist to lead and manage the Lidar and 3D CNN research efforts of its mining automation technology. As the lead cv scientist, you will be uniquely positioned to work on fundamental research in 3D Lidar/stereo camera fusion suited for geometric CNNs, convolutional kernel filter based tracking, VO/LO and Lidar/Radar fusion into products. Ph.D. degree, experienced in localization, mapping, computer vision, visual odometry/vSLAM, CNNs, autonomy perception. Visa sponsorship (H1B/Green card). Competitive salary, full benefits, Contact:lalin@safeai.ai,

More info | Contact: Lalin Theverapperuma (co-founder) | Posted on: 2019-06-16 14:18:22 UTC

Doctoral Candidate and Master’s Thesis Positions in Medical Image Analysis

Aalto University | Helsinki, Finland

More info | Contact: Saad Ullah Akram | Posted on: 2019-06-16 14:17:28 UTC

PhD and PostDoc Positions in Computer Vision

Heidelberg University | Germany

The Computer Vision group at Heidelberg University (Germany) is offering several fully funded PhD and PostDoc positions that became available with several recently acquired research grants. Your future research will be on different aspects of image and video understanding, with a particular focus on topics such as image and video synthesis, disentangled representation learning, visual retrieval, human behavior analysis, or deep metric learning. There is also the optional possibility to explore applications of this fundamental research through existing collaborations of the Computer Vision group in different areas such as automotive or neuroscience. You should have a strong background in vision and learning and be fluent in Python as well as English. Our group offers an inspiring environment for your future research and our institute provides all you need to carry it out. And besides: the entire department has recently moved into a shiny new building with beautiful views of the picturesque medieval city of Heidelberg. The salary of the full position is competitive (TVL/13 up to TVL/14). Your application should include a CV, a cover letter including a statement of research interests, a transcript of records, a list of publications, and two academic references. Should you have any other documents in support of your application that you want us to be excited about, send us a link – your and our mailserver will thank you. Please send your application as a PDF to hci.applications@iwr.uni-heidelberg.de. For further inquiries please contact Prof. Dr. Björn Ommer (hci.iwr.uni-heidelberg.de/Staff/bommer).

More info | Contact: Prof. Dr. Björn Ommer | Posted on: 2019-06-16 14:16:37 UTC

Research Engineer

Avigilon, a Motorola Solutions Company | Boston, MA

Avigilon Corporation is seeking a Research Engineer who is passionate and proficient in Computer Vision and Machine Learning. The ideal candidate will be involved in applying existing state-of-the-art computer vision techniques as well as developing new algorithmic concepts in the field of Video Analytics. Responsibilities include: researching and developing computer vision and machine learning algorithms to solve a variety of problems in video surveillance and business intelligence; prototyping novel research ideas; assisting in transitioning prototypes to market-ready products by implementing the algorithms in C/C++. Qualifications: strong experience in Computer Vision, Machine Learning, and Image Processing; strong mathematics background; ability to read and understand related scientific papers; knowledge of linear algebra, algorithms and data structures; solid software development skills and object-oriented design; knowledge of Python; previous experience with C++; Advanced degree in a relevant field of Computer Science (Ph.D. is preferable)

More info | Contact: Aleksey Lipchin | Posted on: 2019-06-16 14:15:21 UTC

Faculty position on Representation Learning for Natural Language and Multimedia Processing

KU Leuven | Belgium

Learning meaningful and useful representations of unstructured language and multimedia data is a research topic of large current interest. The representations, which are often continuous in nature and realized with deep learning techniques, make it easier to extract useful information from language and multimedia data. They have the potential to be integrated in innovative models for interaction with machines, for instance, in human-machine communication, or in automated search, classification, mining and recommendation of Web data. Possible application areas to valorize the research regard automated understanding of language, natural language and multimodal interaction with machines, chatbots, cross-lingual and cross-modal machine translation, information retrieval and question answering, content-based recommendation, online retail, and the mining of text and multimedia data in Web, social media and professional settings. Research in representation learning also provides possibilities to outreach to the domain of computer graphics where this approach becomes increasingly important. The successful candidate will acquire competitive funding and actively participate in the development of future research projects resulting in a coherent research programme that extends an existing research line on the above themes in the Human-Computer Interaction group of the Department of Computer Science at KU Leuven. Research collaboration especially with the Processing Speech and Images research group of the Department of Electrical Engineering is encouraged. The recruitment and supervision of doctoral students are equally part of the research assignment. KU Leuven ranks among the top 50 universities in the THE World University Rankings 2019.

More info | Contact: Tinne Tuytelaars | Posted on: 2019-06-14 16:43:40 UTC

Research Scientist/Fellow (Human Action Anticipation and Deep Generative models)

**Agency for Science, Technology and Research (A*STAR)** | Singapore

The AI Initiative of the Agency for Science, Technology and Research (A*STAR) Singapore has two Research Scientist/Fellow openings in the areas of Human Action Anticipation and Deep Generative models. These are 24-months positions, with potential extension. The position involves designing and implementing Computer Vision and Machine learning algorithms for human action recognition and action anticipation. The candidate must have a PhD degree in Computer Science, Electrical & Electronics Engineering, or related disciplines. Fluency in Python and Pytorch or Tensoflow is required. Knowledge of Machine Learning, Deep Learning, Deep Generative models, Motion estimation, and Computer Vision is a must. Candidates with prior publications in CVPR, ECCV, ICCV, ICML, NIPS, ICLR, AAAI, TPAMI, IJCV and TIP are preferred. Please send your CV to (Cheston Tan) cheston_tan@scei.a-star.edu.sg and (Basura Fernando) fernando_basura@scei.a-star.edu.sg with email title “Research Fellow AI-A*STAR Action application”.

More info | Contact: Cheston Tan | Posted on: 2019-06-14 16:42:08 UTC

Research Engineer

DITTO | Oakland CA

DITTO is looking for a Research Engineer to keep us pushing the edge of applied computer vision and machine learning techniques. We use a combination of traditional computer vision and various flavors of neural nets for object detection, feature tracking, 3d reconstruction and more. Our augmented reality application straddles techniques relevant to differential geometry, biometrics, image restoration, mobile/embedded cv, and human pose and motion, among others. Our recommendations application blends large data, sparse data, and “subjective” data to engage customers and learn from them. You are a detail-oriented self-starter. You take pride in your work, and you want to show the world what you build. You strive for excellence; you live to conquer seemingly impossible technical challenges. You have a strong grasp of the limits of computer vision/machine learning systems, and you understand that engineering, by definition, is an exercise in tradeoff. You believe that building anything substantive requires collaboration, and a good command of technical communication is key. Constant improvement is part of your motto; combining art with computing is your passion. You know that it’s important to fail often and fail better. What you’ll be doing: Work with your peers to develop and evaluate algorithms that improve or expand our AR virtual try-on platform and recommendation systems Curate and refine appropriate data sets and metrics Read and discuss relevant papers with the research team, and peer review Work with Platform to harden research results for production About you: Ph.D. or Master's degree, or equivalent, in Computer Science, Math, Engineering, or related field 5+ years of experience in research development with Python and/or C++ Expertise in Computer Vision field with 3+ years of hands-on experience involving real-world data Solid understanding of computer science algorithms, data structures, and numerical optimization methods Solid understanding of computer vision systems; experience with OpenCV and build systems Skilled with data analysis libraries e.g. R, Octave or Python + pandas + scipy + numpy + matplotlib or similar Proven problem solving and analytical skills Experience with Linux, AWS, shell scripting, and configuration management systems Experience with Tensorflow, Opengl and glsl a plus Interests in augmented reality and rendering systems Strong technical communicator. Plots and graphs should be your tool of choice, and you’re happiest explaining complicated concepts to non-technical audience

More info | Contact: Steve Chin | Posted on: 2019-06-14 16:41:13 UTC

Engineering Manager, DNN Co-Design

San Francisco | CA or Austin, TX

Mythic's platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using 8-bit non-volatile memory arrays which have been under development since 2012. This step change in performance brings in a range of new applications in a broad array of verticals, including safety and security, autonomous vehicles, VR/AR, robotics and media. Mythic is a fast-growing company with 90+ employees, $86M in funding from top tier investors, and >$1M NRE revenue from two existing customer accounts. Mythic's investors include Softbank, DFJ, Lux Capital, and Data Collective. We are seeking a hands-on manager for our Deep Neural Network (DNN) Co-Design team. The DNN Co-design team works with Mythic's Product, Deep Learning, Compiler, and Hardware teams to build software tools and pipelines which help our customers bring high-performance neural network AI solutions to market on Mythic’s innovative new inference engines. We are looking for someone with a solid theoretical background in DNNs and some knowledge of NN development platforms. The ideal candidate needs to have team leadership experience and a good understanding of software engineering practices, as well as experience with shipping high-quality SW products. The Co-design team is responsible for algorithm development, applied research, and building, debugging, deploying and maintaining Mythic's co-design software stack as it transitions from the prototyping and R&D phases into production. The Co-design engineers will be working with Tensorflow, Caffe, Keras, Pytorch and other common deep learning frameworks, and collaborating with Mythic's teams developing our compiler, simulator, and firmware tools to assemble a reliable, easy-to-use total software solution for customers. Mythic is a strong growth opportunity. As a manager/lead, you will be expected to build a top-notch team, be involved in advanced applied research and help lead the development of innovative and disruptive NN technologies. on a world-class product. You can expect to build a top-notch team, receive additional training, and take responsibility for delivering and maintaining Mythic's core software product. You will lead the development of tools which map and optimize NN's for Mythic's chips. You will build schedules, prioritize issues to align the team's work with company goals and milestones. You will work with product, deep learning, compiler, and hardware teams to scope new features, write requirements, and generate development plans. You will support co-design algorithm research, providing guidance and technical advice. You will also work with software QA team to assist in the creation of continuous integration, testing and debugging workflows and infrastructure.

More info | Contact: Justin Hopper | Posted on: 2019-06-14 16:39:56 UTC

Senior Data Engineer

DeepScale, Inc. | Mountain View, CA

DeepScale is hiring a software engineer to lead our data engineering efforts as we transition to the cloud. Data is a critical part of our engineering efforts at Deepscale; not only do we need efficient serving infrastructure to train our models, our proprietary data-sets we collect and annotate give us a competitive advantage in the models and products we can build. **Core Responsibilities: Maintain ETL pipelines and create new ones as needed. Design and build the next generation of our data ingestion and serving infrastructure for DL training. Build integrations with our annotation partners and manage our data annotation pipeline. Leverage deep learning to automate intelligent data selection for annotation. **Details, further reqs, and application link can be found in More Info.

More info | Contact: Daisyca Woe | Posted on: 2019-06-14 16:38:26 UTC

Planning and Controls Engineer

DeepScale, Inc. | Mountain View, CA

DeepScale is looking for a planning and controls engineer to develop the planning and actuation modules within DeepScale's products. Your main job responsibilities will be to create a path planning and actuation system for applications like lane centering, AEB, and ACC. **You must have worked on applications like LKA (Lane Keeping Assist), LC (Lane Centering) and ACC (Automatic Cruise Control) in an OEM or Tier-1, where you took the output of dynamic environmental model and produced actuation outputs on the CAN bus. The technology you developed must have been used in mass produced vehicles or at least in prototype vehicles. Bonus points if your vehicle passed NCAP tests. Fluent in PID controller theory and coding. Excellent C/C++ coding skills. **Details, further reqs, and application link can be found in More Info.

More info | Contact: Daisyca Woe | Posted on: 2019-06-14 16:38:24 UTC

HPC Infrastructure Engineer

DeepScale, Inc. | Mountain View, CA

As HPC Infrastructure Engineer for DeepScale, your role will be to help design, build, and operate computing clusters using state of the art hardware for Deep Learning for autonomous cars. **Responsibilities: Management of an on-premise computing cluster in a High Performance Computing (HPC) setting. Develop usage policies for deep learning training. Develop tools and infrastructure to scale deep learning. Maintain network infrastructure for local and cloud compute. Data management and backups. **Important Qualifications: Excellent scripting abilities with ﬂuency in Bash or Python, and appropriate use of built-in functions and libraries. Familiarity with environments including LDAP, NFS, bare metal GPU servers, deployments and automation / conﬁguration management, modular user shell environments, networking. Hands on server hardware configuration experience. Experience with cluster management software. **Details, further reqs, and application link can be found in More Info.

More info | Contact: Daisyca Woe | Posted on: 2019-06-14 16:38:22 UTC

Automotive Functional Safety Manager

DeepScale, Inc. | Mountain View, CA

DeepScale is looking for a functional safety manager who is well versed in leading and managing the functional safety process and functional safety audit for our perception software. You will be working with our software developers, who have already started implementing parts of ASPICE process, and you will help the developers with the rest of the process. You will also manage our audit and our gap analysis. Beyond this, you will set up our ASIL-B certification processes and you will also be interfacing with our customers on safety matters. This position reports directly to the VPE and is a position of high visibility and leverage within the company. We are looking for someone exceptional and passionate both about quality software engineering and functional safety for this role. **Responsibilities: Work directly with top OEM customers to set new autonomous vehicle AI/DNN safety performance criteria and establish DeepScale as the DNN safety thought leader. Collaborate closely with our deep neural network development team, to create a functional safety program that demonstrates our commitment to the automotive industry and regulators to building trusted, safe DNN software products. Build a safety team to research, deploy, assess, and revise DNN release performance criteria, meeting internal, industry, and regulatory QA/QC needs. **Details, further reqs, and application link can be found in More Info.

More info | Contact: Daisyca Woe | Posted on: 2019-06-14 16:38:21 UTC

Computer Vision Research Engineer

Big Cloud |

Do you want to work for a Digital Healthcare start-up with strong Series A funding? A strongly funded ($14m Series A) digital healthcare start-up are using AI, Machine Learning & Computer Vision to develop a digital therapy technologies for typically difficult to access therapies for the likes of back pain, COPD, Arthritis & Parkinson’s disease. Their mobile app technology is in production and is being used by consumers (via smartphone) around the world. They are working on cool problems around motion coaching and pose estimation. They are looking for a Senior Deep Learning/Computer Vision Researcher to join their AI team and develop deep learning models for state-of-the-art 2D, monocular 3D Human Pose Estimation, and Tracking. This person will develop prototype models for novel vision and non-vision machine learning use cases in health on existing, large scale dataset What you’ll have: Strong Machine Learning/Deep Learning experience Production level code experience in Python and experience with deep learning frameworks A background in 2D, 3D, pose estimation A PhD with a strong publication background is a nice to have Application: Please send your CV to Tom Harris at tom@bigcloud.io

More info | Contact: Tom Harris | Posted on: 2019-06-14 16:34:51 UTC

Machine learning modeling scientist/engineer

Corning | Montréal QC, Canada

Corning is one of the world's leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives. You will be part of a new machine learning / data analytics team at Corning Technology Center Montréal (CTCM) and work on interesting and challenging projects across different global business within Corning. You will act as a subject matter expert to develop and deploy data analytics and machine learning models and novel computational methods (especially in the areas related to computer vision) from available research & manufacturing data to enhance the competitive advantage of Corning products. You will interpret data analysis results in RD&E or business context and articulate the implications of the results to the business functions. You will be a great fit if you have: MS or PhD in engineering, computer science, mathematics, statistics, or a related discipline with specialization in data analytics & machine learning; experience of physics based modeling or computer vision; 3 to 5 years of work experience in development and deployment of different machine (deep) learning models; deep knowledge about common machine (deep) learning models and practical experience of using machine learning libraries (such as Scikit-learn, PyTorch, Tensor Flow, or Keras); strong mathematical and programming skills using Python, R and/or MATLAB; and strong interpersonal skills and ability to work as a team player or independently. You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists. You will be working in Montréal Canada.

More info | Contact: Katherine Lemay-Labonte | Posted on: 2019-06-14 16:33:45 UTC

Machine learning modeling scientist/engineer

Corning | Corning NY, U.S.

Corning is one of the world's leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people's lives. You will be part of a young and highly talented machine learning team at Corning and work on interesting and challenging projects across different business. You will act as a subject matter expert to develop and deploy data analytics and machine learning models and novel computational methods from available research & manufacturing data to enhance the competitive advantage of Corning products. You will interpret data analysis results in RD&E or business context and articulate the implications of the results to the business functions. You will be a great fit if you have: MS or PhD in engineering, computer science, mathematics, statistics, or a related discipline with specialization in data analytics & machine learning; experience of physics based modeling; 3 to 5 years of work experience in development and deployment of different machine (deep) learning models; deep knowledge about common machine (deep) learning models and practical experience of using machine learning libraries (such as Scikit-learn, PyTorch, Tensor Flow, or Keras); strong mathematical and programming skills using Python, R and/or MATLAB; and strong interpersonal skills and ability to work as a team player or independently. You will enjoy the collaborative and dynamics team environment, learn and grow with other world class machine learning modeling engineers and scientists. You will be working in a small yet beautiful town at Corning NY.

More info | Contact: Tonya Lopez | Posted on: 2019-06-14 16:32:45 UTC

PhD position in Deep Learning for Satellite Image Analysis

Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin | Germany

We are looking for a highly motivated PhD candidate to join the Remote Sensing Image Analysis (RSiM) group at the Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin, Germany. The research of the PhD candidate will aim at developing methodologies that go beyond current state of the art solutions for information discovery from big earth observation data archives by learning from volunteered geographic information using deep neural networks. The successful candidate will begin on September 2019 and will have a duration of 3 years. MSc degree is required in computer engineering or computer science with experience in computer vision, deep learning for image understanding. Interested candidates are requested to email their CVs to Prof. Begum Demir (demir@tu.berlin.de). Very good command of German and English is required.

More info | Contact: Begum Demir | Posted on: 2019-06-14 16:30:59 UTC

Senior Research Scientist

Auris Health, Inc | Redwood City, CA

As a Research Scientist, this individual will be responsible for Medical Image algorithm design, implementation and testing in support of the Auris navigation program for medical interventions. He/she will work closely with other Research Scientists, Systems Engineers and Software Engineers to develop solutions to enable Auris instruments to safely navigate within a clinical environment. The position reports to the Director of Systems, Algorithms and Robotics. Core Job Responsibilities: * Research and develop novel algorithms for image segmentation, registration, 3D reconstruction and visualization of medical image datasets. * Implementation, testing and debugging of algorithms within the Auris Application software (C++). * Conduct Algorithm design review meetings. * Evaluate new technologies and remain informed regarding state-of-art approaches in the field of Medical Image Computing. * Improve performance and robustness of existing algorithms. Required Knowledge/Skills, Education, And Experience: * 5-8 years’ working experience on implementing complex algorithms in a medical image setting. Candidates with Ph. D in Medical Image Computing, Computer Science, Image Analysis are preferred. * Deep understanding and experience in state-of-art medical image analysis, image registration, machine learning, computer vision algorithms. * Demonstrated experience dealing with clinical imaging datasets. * Proficiency in C++ , ITK, VTK, OpenCV, Python. * Experience with experimental design. * Experience dealing with medical professionals to identify clinical problems and implement solutions. * Software debugging experience. * Experience dealing with medical robotics system desirable. * Superior written and verbal communication and presentation skills. * Must have a demonstrated ability to effectively and clearly communicate concepts, ideas and knowledge to other individuals and teams. * Strong analytical and problem solving skills. * Comfortable working with and seeking optimum solutions with other team members, as well as team members in adjacent disciplines. * Ability to work in a regulated environment in compliance to ISO 13485 and 21 CFR 820.

More info | Contact: Elif Ayvali | Posted on: 2019-06-14 16:29:54 UTC

Senior Research Scientist

Auris Health, Inc | Redwood City, CA

As a Research Engineer/Scientist, this individual will be responsible for improving algorithm performance of the image segmentation algorithms of the Monarch Platform. He/she will work closely with other Research Scientists, Research Engineers, Systems Engineers and Software Engineers to develop solutions to enable Auris instruments to safely navigate within a clinical environment. The position reports to the Director of Systems, Algorithms and Robotics. Core Job Responsibilities: *Assess performance and robustness of existing image segmentation algorithms via analysis of case data collected with the Monarch Platform. *Interact with external partners to co-develop develop next generation image segmentation algorithms for Monarch Platform. *Research and develop novel algorithms to perform multi-modal sensor fusion, registration of different datasets, modelling of physiological functions, and analysis of medical image datasets. *Implementation, testing and debugging of algorithms within the Auris Application software (C++). *Conduct Algorithm design review meetings. *Evaluate new technologies and remain informed regarding state-of-art approaches in the field of Medical Image Computing. Required Knowledge/Skills, Education, And Experience: * 5-8 years’ working experience on implementing complex algorithms in a medical image setting. Candidates with Ph. D in Medical Image Computing, Biomedical Engineering, Image Analysis are preferred. * Deep understanding and experience in state-of-art image segmentation, medical image analysis, machine learning, computer vision algorithms. * Demonstrated experience dealing with clinical imaging datasets, specifically CT DICOM datasets. * Proficiency in C++ , ITK, VTK, OpenCV, Python. * Experience with experimental design. * Experience dealing with medical professionals to identify clinical problems and implement solutions. * Software debugging experience. * Experience dealing with medical robotics system desirable. * Superior written and verbal communication and presentation skills.. * Must have a demonstrated ability to effectively and clearly communicate concepts, ideas and knowledge to other individuals and teams. * Strong analytical and problem solving skills. * Comfortable working with and seeking optimum solutions with other team members, as well as team members in adjacent disciplines. * Ability to work in a regulated environment in compliance to ISO 13485 and 21 CFR 820.

More info | Contact: Elif Ayvali | Posted on: 2019-06-14 16:28:31 UTC

Senior Research Scientist (Computer Vision)

Auris Health, Inc | Redwood City, CA

As a Research Scientist, this individual will be responsible for Computer Vision algorithm design, implementation and testing in support of the Auris navigation program for medical interventions. He/she will work closely with other Research Scientists, Systems Engineers and Software Engineers to develop solutions to enable Auris instruments to safely navigate within a clinical environment. The position reports to the Director of Systems, Algorithms and Robotics. Core Job Responsibilities: *Research, invent and develop novel computer vision/machine learning algorithms for Auris products and applications. *Improve performance and robustness of existing computer vision algorithms for localization of robotic devices within patient anatomy. *Implementation, testing and debugging of algorithms within both development environments (Python), and the Auris Application software (C++). *Generate Algorithm Design Documents and Patent Applications. *Support testing and analysis of algorithm performance where applicable as part of Verification and Validation activities Required Knowledge/Skills, Education, And Experience: *5-8 years’ working experience on implementing complex algorithms in a medical image setting. Candidates with Ph. D. in Medical Image Computing, Computer Vision or Robotics are preferred. * Deep understanding and experience in the fundamentals of computer vision, as well as state-of-the-art medical image analysis and machine learning algorithms. *A proven track record of technical contributions to top conferences/journals (e.g. CVPR, MICCAI, ICRA, TRO, MedIA or TMI) is preferred. *Proficiency in C++, Python and libraries such as ITK, VTK and OpenCV. *Demonstrated experience dealing with clinical imaging datasets. *Experience with experimental design. *Experience dealing with medical professionals to identify clinical problems and implement solutions. *Experience dealing with robotic vision systems desirable. *Superior written and verbal communication and presentation skills. *Must have a demonstrated ability to effectively and clearly communicate concepts, ideas and knowledge to other individuals and teams. *Strong analytical and problem-solving skills. * Comfortable working with and seeking optimum solutions with other team members, as well as team members in adjacent disciplines. *Ability to work in a regulated environment in compliance to ISO 13485 and 21 CFR 820.

More info | Contact: Menlong Ye | Posted on: 2019-06-14 16:27:23 UTC

Open PhD Positions in Computer Vision and Machine Learning

The University of Queensland | Brisbane, Australia

Outstanding and motivated PhD candidates, with very good first Masters or honours degree in mathematics, computer science or science, are being sought to work as part of a research team on developing methods for solving a wide range of problems related to geometry in computer vision and machine learning. A strong background in mathematics and programming is desirable for this position. Experience in optimization, computer/robotic vision and/or machine learning is also meriting. The project is supported by the Australian Research Council and involves academic partners in both Europe and the US.Competitive tax-free salaries can be topped up with generous awards and scholarships. Interested candidates should email a Statement of interest (why research, why Computer Vision, why Brisbane?), and CV with names of two references to a.eriksson@uq.edu.au

More info | Contact: Anders Eriksson | Posted on: 2019-06-14 16:25:59 UTC

PostDoc Research Fellowship for Females @ MPII/Germany: Lise Meitner Award Postdoctoral Fellowship

Max Planck Institute for Informatics, | Saarbrücken, Germany

The Max Planck Institute for Informatics is looking for excellent female computer scientists, offering them PostDoc positions to develop their scientific ideas without exertion of influence. The PostDoc positions are funded by the Lise Meitner Award. It is a two-year tax-free postdoctoral research fellowship including business expenses. This grant is according to the fellowship rules of the Max Planck Society: it usually amounts to 3,000 Euro/month and is completed by compensation for business expenses of 10,000 Euro/year. Fellows will be chosen based on the strength of their academic background and research credentials. Applications should include a CV, a cover letter, a publication list, a short research plan (one page is enough), and two references, that will be contacted later to provide recommendation letters. The application process for 2019 ends on September 30th, 2019. See the Lise Meitner Award web page for details on how to apply: https://www.mpi-inf.mpg.de/lise-meitner-award-fellowship/. For more information, please contact meitner-award@mpi-inf.mpg.de.

More info | Contact: Sophie Tourret, Qiuhong Ke | Posted on: 2019-06-14 16:24:49 UTC

Research fellow (tenured) in Computer Vision (geometry)

Linköping University | Sweden

Linköping University hereby advertises a position as Research fellow in Computer Vision with focus on geometry, formally based at the Department of Electrical Engineering, Computer Vision Laboratory (CVL). CVL is a vibrant research environment headed by Michael Felsberg that has been identified as outstanding Swedish research environment within AI in Vinnova’s latest report. The division focuses on research and teaching in the area of computer vision, in particular learning and modelling of machine perception. The CVL team has published methods for deep convolutional networks and efficient online learning as well as efficient methods for geometrical problems at major computer vision conferences such as CVPR, ECCV, and ICCV in the recent past. CVL researchers are particularly known for their work on visual object tracking, signal processing approaches to vision, feature representations, and rolling shutter methods. For further details, see http://www.cvl.isy.liu.se. As a research fellow, you are expected to conduct your own research in computer vision, in particular regarding mathematics and algorithms for 3D computer vision, as well as teach computer vision courses within this sub-area. Applicants need to hold a PhD exam and apply for the position at https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11236&rmlang=UK latest 8th of July.

More info | Contact: Professor Michael Felsberg | Posted on: 2019-06-14 16:23:27 UTC

Tenure-Track/Tenured Faculty position in Computer Vision, Machine Learning or Robotics

Czech Technical University in Prague | Prague Czech Republic

Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC, ciirc.cvut.cz) at Czech Technical University in Prague (CTU, ciirc.cvut.cz) is looking for a full-time tenure-track/tenured faculty member at the rank of assistant/associate professor in the area of Computer Vision, Machine Learning or Robotics. The position may be tenured or tenure-track depending on qualifications of the candidate. *** Applicants are expected to have a strong research record, their own research vision, and interest in developing their own research group. The position will be in a multidisciplinary environment of AAG (aag.ciirc.cvut.cz) and IMPACT (impact.ciirc.cvut.cz) groups of Tomas Pajdla (people.ciirc.cvut.cz/pajdla) and Josef Sivic (www.di.ens.fr/~josef) pursuing research in machine learning driven computer vision including 3D vision, visual recognition, visual localization, video analysis, robot/camera modeling and calibration, robot motion/activity learning and planning with applications in autonomous driving, advanced manufacturing, movie production or augmented/virtual reality. *** Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC, ciirc.cvut.cz) is a young, dynamic and open research institute and a center of excellence at Czech Technical University in Prague, Czech Republic. Prague is the capital of the Czech Republic, considered one of the most beautiful cities in the world with the highest Quality of Living Worldwide ranking among the eastern European cities and with over 160,000 foreign residents. It boasts a rich history and culture, long tradition of university education and scientific research, and a dynamic economy. The cost of living in Prague is lower than, for example, Amsterdam, Paris or Munich. *** To apply, send your CV, research statement, and 3 references to Tomas Pajdla (pajdla@cvut.cz) and Josef Sivic (sivic@cvut.cz).

More info | Contact: Tomas Pajdla | Posted on: 2019-06-12 14:40:42 UTC

PhD studentship: Unsupervised representation learning for computational creativity

CVSSP, University of Surrey | Guildford (near London) UK

This 3.5 year PhD studentship will investigate self-supervised methods to learn computational models of creativity from large volumes of digital creative work. The PhD will focus upon developing new deep learning techniques to understand and synthesize many forms of creative output, including digital artwork, user experiences (e.g. UI layouts). It will explore how these models could be incorporated into AI-enabled tools, and designers can co-create with those tools in a closed loop to enhance their creative process. The PhD is co-supervised between the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey with over 150 researchers in Computer Vision, and by Adobe Research’s Creative Intelligence Lab (CIL). Adobe will be closely involved in the supervision of this project. A tax free annual stipend of 20,000 GBP plus UK/EU fees is included.

More info | Contact: Prof. John Collomosse | Posted on: 2019-06-12 14:39:04 UTC

Senior Machine Learning Engineer/Scientist (Computer Vision)

VideaHealth, Inc. | Boston, MA

VideaHealth is a well-funded early stage startup which develops software to automatically detect pathologies in dental imaging. We’re currently working with multiple institutional partners and dental organizations to help dentists avoid missing diseases and effectively communicate treatment recommendations to over 210 million patients. We are looking for a Senior Machine Learning Engineer to work together with machine learning team and clinical experts and build one of the first FDA-approved diagnostic algorithms world-wide. Technical qualifications include: • Master or PhD in a computer science, applied mathematics, or related technical field • Extensive experience in deep learning, computer vision and traditional machine learning algorithms • Experience with machine learning frameworks such as TensorFlow or PyTorch • Strong programming skills in Python and C++, and experience working in UNIX environments • Ability to work and manipulate large amounts of data • Thinking in terms of long-term vision, but also approaching new experiences with a pragmatic outcome-oriented mindset • Previous experience in medical imaging and DICOM standard is a plus but not required

More info | Contact: Behrooz Hashemian | Posted on: 2019-06-12 14:38:08 UTC

Ph.D. Students for Predictive Molecular Pathology

University of Nevada, Reno. Department of Biomedical Engineering | University of Nevada

The Bioimaging and the Tumor Microenvironment Lab has an opening for Ph.D. students with interests in pathology, tumor models, and biomarker discoveries. Students will be working at the intersection of image analysis, deep learning, and life sciences. You should be a skilled software developer with the knowledge of pytorch and tensor flow and have a deep interest in cancer biology. You may also be working with other Ph.D. students who are working in our wet lab. As a result, all predictions can be validated. Please send me an email with your CV and subject heading of “Prospective Ph.D. Candidate.”

More info | Contact: Bahram Parvin | Posted on: 2019-06-12 14:37:05 UTC

Research Fellow

Monash University | Melbourne, Australia

Monash University is a public research university based in Melbourne, Australia. Founded in 1958, it is the second oldest university in the State of Victoria. Monash is a member of Australia’s Group of Eight, a coalition of Australia’s eight leading research Universities, a member of the ASAIHL, and is the only Australian member of the M8 Alliance of Academic Health Centers, Universities and National Academies. Monash is one of two Australian universities to be ranked in the École des Mines de Paris (Mines ParisTech) ranking on the basis of the number of alumni listed among CEOs in the 500 largest worldwide companies. Our group is dedicated on exploring multiple signals (visual, acoustic, textual) for automatic content analysis in unconstrained or surveillence videos. Our systems have achieved top performance in various international competitions, such as TRECVID MED, TRECVID SIN, and TRECVID AVS. The research interest of our group is to develop structured machine learning models for computer vision and multimedia tasks. We mainly investigate how to explore the information contained in videos and develop the advanced artificial intelligence systems. We focus on the following topics, include Video Analysis, Learning with Limited Supervision, and Medical Image Understanding. The Research Fellow will work with four professors and one DECRA Fellow on the DARPA project, "Learning with Less Labels (LwLL)". More information about this project can be found https://www.darpa.mil/program/learning-with-less-labels

More info | Contact: Xiaojun Chang | Posted on: 2019-06-12 14:35:11 UTC

Machine Learning Research Intern

Apple | Cupertino, CA

AI Research team is seeking highly motivated and qualified individual to join our internship program. Our team pursues research & development in the areas of machine learning (ML) with particular focus on deep learning (DL), computer vision (CV), Natural Language Processing (NLP), optimization, and reinforcement learning (RL). The ideal candidate would be a senior PhD student with a strong background in one or more of the above areas with relevant publication record. Strong programming skills in Python (C++ is a plus) and hands-on experience with deep learning platforms are expected. The successful candidate will collaborate with Apple researchers to research and implement new machine learning solutions, conduct large scale experiments, deliver technology results and prepare technical reports for publication.

More info | Contact: Oncel Tuzel | Posted on: 2019-06-12 14:33:48 UTC

Machine Learning Researcher

Apple | Cupertino, CA

AI Research team is seeking highly qualified applicants for the position of ML Researcher. Our team pursues research & development in the areas of machine learning (ML) with particular focus on deep learning (DL), computer vision (CV), Natural Language Processing (NLP), optimization, and reinforcement learning (RL). As a member of the team, you will work on some of the most challenging technical problems, develop new ML solutions that will impact future Apple products, and collaborate with the best product teams to integrate your ideas into products. In addition, you will engage with the academic community by publishing your innovative research, and speaking at conferences and events. Key qualifications: Strong publication record demonstrating innovative research; Excellent programming skills in Python, C/C++; CUDA or other GPGPU is a plus; Knowledge of common ML frameworks; Good presentation and writing skills; Passionate about building extraordinary products.

More info | Contact: Oncel Tuzel | Posted on: 2019-06-12 14:33:17 UTC

Machine Learning Intern

Borealis AI | Vancouver, BC, Canada

Borealis AI is a team of researchers and engineers dedicated to solving today’s leading problems in machine learning and artificial intelligence. With a focus on curiosity-driven research, our team is dedicated to pursuing of state-of-the-art by publishing at top-tier conferences, developing impactful products with the potential to reach millions of people, and supporting the broader AI community. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more. Internship opportunities are available in one of the following areas: * Deep learning for time series. * Automated machine learning. * Interpretability in computer vision.

More info | Contact: Greg Mori | Posted on: 2019-06-11 13:23:59 UTC

SLAM Focused Computer Vision Engineer for Sidewalk Rover

Bodega Bots | Los Angeles

Main job responsibilities include; help collect, train and test datasets to build self driving machine learning models for sidewalk rovers. First deliveries will be sodas and small snacks around neighborhood block. We'll need someone who has written SLAM code in python, c++, or experience with pytorch, tensforflow and has worked on self driving projects. A HUGE plus if you have experience in trouble shooting models, hyper tuning parameters, debugging and reproducing results. Our mission is to help reduce last mile costs for low income communities here in LA. We'll start with a simple SLAM architecture and then improve with more complicated datasets/models. Please send me an email with resume and salary range to see if we're a good fit. If you're going to CVPR2019 please let me know, I'd love to connect. Thanks

More info | Contact: David Gordian | Posted on: 2019-06-11 13:19:51 UTC

Software Engineer-Computer Vision

Inceptio Technology | 47221 Fremont Blvd, Fremont, CA 94538

Responsibilities Design and implement Deep Neural Networks for detection, segmentation and classification. Participate in all phases of software cycle, including data collection, model building + tuning and deployment to vehicle. Qualification B.S./M.S./ Ph.D. in C.S. or E.E. or any other related majors. Solid mathematical/analytical skills. Great ability to program in C++ and Python. Proven experience with TensorFlow, Keras, PyTorch or Caffe. Proven knowledge in general machine learning algorithms and deep learning models. Knowledge in object detection, segmentation and classification is a plus. Knowledge in hybrid computing (CUDA/OpenCL) is a plus. Excellent communication skill. Always a team player.

More info | Contact: Cindy Fu | Posted on: 2019-06-11 13:17:47 UTC

Senior Software Engineer-Computer Vision

Inceptio Technology | 47221 Fremont Blvd, Fremont, CA 94538

Responsibilities Design and implement Deep Neural Networks for detection, segmentation and classification. Participate in all phases of software cycle, including data collection, model building + tuning and deployment to vehicle. Track and apply the latest algorithm improvements from industry and the research community. Qualifications B.S./M.S./ Ph.D. in C.S. or E.E. or any other related majors. Solid mathematical/analytical skills. Strong Python and C/C++ programming skills. Experience designing, training and deploying neural networks. Proven skills on Camera calibration, object detection, depth estimation, 3D bounding box estimation. Knowledge in 3D LiDAR point cloud processing and 3D object detection. Experience with Keras, Tensorflow, PyTorch, OpenCV, TensorRT etc. Experience with hybrid programming ( CUDA or OpenCL) is a plus. Experience with video compression and real time video streaming is a plus. Knowledge of ROS/CAN/Ethernet is a plus. Excellent communication skill.

More info | Contact: Cindy Fu | Posted on: 2019-06-11 13:17:03 UTC

Postdoc Position on Visual Common Sense Reasoning

Oregon State University | Corvallis OR USA

A postdoc position is available starting October at the CoRIS Institute of Oregon State University. The postdoctoral scholar will work on the problem of visual common sense reasoning, with an emphasis on combining continuous-space sequential decision models such as recurrent networks and reinforcement learners with symbolic approaches such as finite state machines. Applicants should hold a PhD in computer vision, or machine learning. We are most interested in experiences in sequential models, deep reinforcement learning, planning, symbolic machine learning, video prediction, video object segmentation and multi-target tracking, A strong research record is required, documented by recent publications in the past 3 years at first-tier conferences (CVPR, ICCV, ECCV, ICML, NIPS, ICLR, UAI, RSS) and journals (IJCV, PAMI, JMLR). We are looking for a highly motivated and creative individual who enjoys working in a collaborative research environment. Good communication skills and fluency in English are required. The post-doctoral position is provided for up to 3 years with competitive salary. The starting dates are flexible. There is no fixed deadline, applications will be considered until the position is filled. Please send your detailed CV to Dr. Fuxin Li at Fuxin.li@oregonstate.edu and Dr. Alan Fern at alan.fern@oregonstate.edu with the subject “Postdoc Application”. Fuxin Li is also available for discussions during ICML and CVPR. The CoRIS institute (https://robotics.oregonstate.edu) at Oregon State University contains a team of more than 25 faculties and 180 graduate students working on robotics and artificial intelligence. Our robotics program is recognized as one of the country's best.

More info | Contact: Fuxin Li | Posted on: 2019-06-11 13:15:49 UTC

Computer Vision Researcher

Sportlogiq - SLiQ Labs | Montreal, Kitchener/Waterloo, Vancouver

Who we are: SPORTLOGiQ is the leading provider of advanced analytics data for professional sports teams and broadcast media. As a Computer Vision researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must be a fast learner and have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling. What you'll do: Our ideal candidate would have strong experience in developing novel computer vision and machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the computer vision and video analysis team, and will be in charge of the development of novel methods for solving computer vision problems. What you'll need: Graduate degree (PhD preferred) with research experience in computer vision and machine learning Solid skills in C/C++ or Python Ability to develop large-scale systems working with image/video data Strong working knowledge of software architecture and data structure Nice to have: Research experience and publications in relevant fields in top-tier conferences and journals Up-to-date knowledge and understanding of recent advances in machine learning and computer vision, particularly deep learning Practical experience with deep learning frameworks What we offer: Competitive salary Flexible work schedule Comprehensive benefits program A cooperative and fun work environment Freedom to work on your own projects Dog friendly office An endless coffee, tea and candy bar! Last but not the least, you will have the opportunity to publish original research, participate in scientific conferences, and collaborate with academic partners

More info | Contact: Priscilla Auger | Posted on: 2019-06-11 13:14:17 UTC

Machine Learning Researcher

Sportlogiq - SLiQ Labs | Montreal, Kitchener/Waterloo, Vancouver

Who we are: SPORTLOGiQ is the leading provider of advanced analytics data for professional sports teams and broadcast media. As a Machine Learning Researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must be a fast learner and have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling. Our ideal candidate would have strong experience in developing novel machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the sport analytics research team, and will be in charge of the development of novel descriptive and predictive models for sport games data. What you need: Graduate degree (PhD preferred) with research experience in applied machine learning Solid skills in C/C++ or Python Ability to develop machine learning models on large and complex data Deep understanding of machine learning theory and mathematical modeling Strong working knowledge of data structure Nice to have: Research experience and publications in relevant fields in top-tier conferences and journals Up-to-date knowledge and understanding of recent advances in machine learning, particularly semi-supervised learning and deep reinforcement learning Research experience in time series analysis and/or structured prediction Practical experience with deep learning frameworks What We Offer: Competitive salary Flexible work schedule Bonus structure and employees stock options Comprehensive benefits program A cooperative and fun work environment Freedom to work on your own projects Dog friendly office An endless coffee, tea and candy bar! Last but not the least, you will have the opportunity to publish original research, participate in scientific conferences, and collaborate with academic partners

More info | Contact: Priscilla Auger | Posted on: 2019-06-11 13:13:32 UTC

Research Scientist/Engineer/Intern

Malong Technologies | Shenzhen and Beijing, China

Malong Technologies (码隆科技) is an award-winning AI company focusing on computer vision research in product recognition and related technologies to transform the retail industry to be more efficient. Founded in 2014, and now with some of the world’s leading retailers as its customers, Malong is at the forefront of the frictionless shopping revolution by merging the science and real-world application together, both physically in-store and virtually online. VC-backed by Softbank China, Accenture and other leading investors, Malong is fast-growing, well-funded, with 150+ employees hailing from top R&D orgs such as Microsoft Research, Oxford VGG, Tsinghua University, Chinese Academy of Sciences, University of Maryland, etc., and in collaboration with the research community, including Microsoft Research Asia, Google Research, and top university labs. The company is actively hiring research scientists, research engineers and interns, strongly supporting researchers to publish papers in top CV conferences and journals, and looking to make a big impact to both the scientific community and industry. Responsibilities: • Track record in academia and / or industry that demonstrates deep learning and computer vision expertise. • Experience optimizing and benchmarking algorithms with rigorous evaluation. • Experience working with large-scale data sets on image classification, object detection, tracking, model compression, edge computing related applications or video-related tasks. • Excellent candidates have publications in top conferences / journals (e.g., CVPR, ICCV, ECCV, NIPS, etc. / TPAMI and IJCV.), notable open source contributions, and / or high ranks in national / international competitions. • Proficient using Python and / or C++.

More info | Contact: Dr. Weilin Huang | Posted on: 2019-06-11 13:08:55 UTC

Research Intern | PhD

Scape Technologies | London, UK

In this 3-6 month paid PhD internship you will have the opportunity to work on research in a startup environment. We are looking for curious and enthusiastic computer vision scientists who are keen on working on moonshot projects. You will have access to the powerful cloud infrastructure of Scape Technologies and work autonomously under the supervision of renowned computer vision researchers. You will be expected to work towards the submission of a high quality conference paper at a top conference.

More info | Contact: Nelya Sokolyk | Posted on: 2019-06-11 13:07:40 UTC

Computer Scientist & Intern Opportunities

SRI International | Princeton, NJ

SRI International is a nonprofit, independent research center serving government and industry. We work on some of the world’s most important problems, collaborating across technical disciplines to spark new ideas and solutions. From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. SRI’s Center for Vision Technologies works in technologies and applications covering the spectrum from low-level vision to high-level vision. We pride ourselves in pushing the frontiers of R&D in Video and Vision Technologies with the goal of “making Vision work in the real world”. If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you. Comprised of the Vision & Robotics, Vision & Learning, and Embedded Vision Labs, we work on a wide range of projects ranging from basic research to applied research for government and commercial applications. Our group has also spun out 6 companies in the past couple of years. We currently have full time and intern opportunities available for different areas in Computer Vision, Robotics, AI and Machine Learning including: computational sensing, 2D/3D reasoning, vision analytics, explainable AI, life-long learning and human behavior modeling. If you are interested in applying for a position with SRI, please visit the Careers section of our website at https://www.sri.com/careers and search key word: Vision. You can also email erica.saunders@sri.com.

More info | Contact: Erica Saunders | Posted on: 2019-06-11 13:06:24 UTC

PHD ON DEEP LEARNING IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

Computer Vision Center Barcelona | Spain

We are seeking a PhD to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 4 years. The position will remain open until a good candidate is found. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on active learning, continual learning, few-shot learning, generative models, encoder-decoder networks, self-supervised learning, etc. The position is on an industrially sponsored project with 2 postdocs and four PhD students. The subjects include lifelong learning (continual learning), generative models, network compression, multi-model data representation learning. PROJECT SUPERVISOR & HOSTING GROUP Joost van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC. CANDIDATE ’S PROFILE The candidate should hold a Masters degree or equivalent. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. FUNDING CONDITIONS Living allowance of 15-20k€/year (gross salary). CONTACT AND CONTACT EMAIL: Interested applicants should email their CV (preferably with contact information of 2 references) and transcript of university course grades to Dr. Joost van de Weijer (joost@cvc.uab.es). Also for any other inquiries please contact Joost van de Weijer. THE COMPUTER VISION CENTER The selected candidate will work in the Computer Vision Centre (CVC), Barcelona, a research institute comprising more than 100 researchers and support staff, dedicated to computer vision research and knowledge transfer. With a strong international projection and links to the industry, the Computer Vision Centre offers an exciting environment for scientific career development. The Computer Vision Centre has a plan for expansion of its permanent research staff base, and has received the “HR Excellence in Research” award as a provider and supporter of a stimulating and favorable working environment.

More info | Contact: Dr. Joost van de Weijer | Posted on: 2019-06-11 13:04:52 UTC

Postdoctoral Fellow for Computer Vision and Machine Learning

University of California | Los Angeles, USA

We are looking for postdoctoral fellows who are interested in computer vision and machine learning. This postdoctoral position is supported by both the University of California, Los Angeles (UCLA) and the Shanghai Jiao Tong University (SJTU). The position is for two years, and you may spend 8-12 months at UCLA and 12-16 months at SJTU. We are interested in various topics in computer vision and machine learning, especially in explainable AI, the deep coupling of neural networks and graphical models, generative models, lifelong learning, and robotics. Expected Qualifications: 1. Ph.D. (or near completion thereof) in computer science, machine learning, electrical engineering, or a related field. 2. Two years of hands-on experience with deep neural networks. 3. Excellent programming skills, preferably in Python. It comes with no teaching load. If you are interested in the position, please submit the following your CV and publication list to Dr. Quanshi Zhang, zqs1022@sjtu.edu.cn . We are looking forward to hearing from you. Contact: Dr. Quanshi Zhang, zqs1022@sjtu.edu.cn Center for Vision, Cognition, Learning, and Autonomy at the University of California, Los Angeles (UCLA) https://vcla.stat.ucla.edu/ Explainable AI Team at Shanghai Jiao Tong University http://qszhang.com/

More info | Contact: Dr. Quanshi Zhang | Posted on: 2019-06-11 13:02:51 UTC

Senior/Principal Research Scientist – 3D Computer Vision and Machine Learning

Bosch Research and Technology Center North America | Sunnyvale CA, USA

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com/research), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI) (incl. Robotics), Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. As a part of the global Human Machine Interaction research unit, our team is responsible for shaping the user experience of future Bosch products by developing cutting-edge technologies in the fields of mixed reality, robotics perception and human robot interaction. We focus on developing innovative solutions to hard challenges in computer vision, needed for human interaction with intelligent and autonomous systems. We also actively collaborate with leading research groups in academia and industry to promote new ideas and dissemination of key findings in internationally renowned conferences and journals, e.g. CVPR, ICCV, ICRA, ISMAR, ECCV, NIPS, ICLR, TVCG, SIGGRAPH etc. The ideal candidate will passionately drive and further advance innovations in the field of computer vision but not limited to machine learning based approaches. The work encompasses research, development and implementation of novel algorithms and guidance of business units to bring the ideas to products. Responsibilities include but not limited to: * Conduct advanced research and engineering in computer vision and machine/deep learning for mixed reality, visual sensing and robotics * Design and develop complete solutions to enable natural human machine/robot interaction * Transfer of algorithm/software/system to Bosch products * Summarization of R&D findings in high-quality paper and/or patent submissions Qualifications * Ph.D. in Computer Science or related majors * Publication record in top venues including CVPR, ICCV, ICRA, ISMAR, ECCV, NIPS, ICLR, TVCG, SIGGRAPH. * 3+ years of experience in leading Computer Vision and Machine Learning Research & Development

More info | Contact: Zhixin Yan | Posted on: 2019-06-08 16:04:34 UTC

Software Engineer/Machine Learning & Applied Research #1169

Intelligent Automation, Inc. | Rockville, MD

IAI is looking for self-motivated software developers at entry, mid and senior levels who are interested in working in a highly agile and dynamic R&D, technology transition and product development environment. Candidates will work collaboratively on the Robotics & Electromechanical Systems (REMS) team as well as supporting the development team to refine research and products in the areas of big data and text, image, video and network analytics. US citizenship or Permanent Residency is required for this position. You are highly encouraged to apply if you are excited about writing code, interested in applying the latest technologies throughout the software stack, have strong analytical skills, enjoy finding and fixing bugs, passionate about understanding how things work and want to solve complex problems.

More info | Contact: Pat McVicker | Posted on: 2019-06-08 16:03:13 UTC

Research Scientist/Computer Vision & Machine Learning #1176

Intelligent Automation, Inc. | Rockville, MD

IAI has an open full-time position for a Research Scientist in the field of computer vision and machine learning. We are looking for an outstanding self-motivated researcher with a MS or PhD in Electrical Engineering or Computer Science with a background in computer vision, robotics, and machine learning. You will be working with the multi-disciplinary team of scientists and engineers in the robotics group to develop custom solutions for our customers in the fields of video analytics, robotics, autonomy, human-machine interface, AI, and electromechanical system integration. We have numerous active R&D projects where we design, integrate, test, and deploy systems for a range of applications, including ISR (intelligence, surveillance, and reconnaissance), perception for autonomous systems, aircraft inspection, training, and simulation. The desired candidate should have a strong publication record in computer vision particularly in the areas of object detection and tracking, object recognition, machine learning, and robotic vision. A solid background in programming is important. The desired candidate will have strong communication, presentation, and writing skills as well as experience working in a multi-disciplinary team. US citizenship or Permanent Residency is required for this position.

More info | Contact: Pat McVicker | Posted on: 2019-06-08 16:02:50 UTC

Postdoctoral research fellow on deep learning for event cameras

University of Surrey, Centre for Vision Speech and Signal Processing (CVSSP) | Surrey, United Kingdom

CVSSP is the largest UK academic research institute focussed on computer vision & machine learning (almost 200 active research staff). This role provides 3 years of funding, with automatic annual salary increments, and a good possibility of future follow-on posts. The project is focussed on developing a new deep-learning toolkit and techniques, to support state-of-the-art deep-learning with modern asynchronous visual sensors (such as event cameras) for applications in robotics. The potential applicant should either hold, or have submitted a doctoral thesis in Computer Vision or Machine Learning. A strong background in deep-learning is a must. Prior experience with asynchronous visual sensors, or the Robot Operating System are not required, but are advantageous.

More info | Contact: Simon Hadfield | Posted on: 2019-06-08 16:00:58 UTC

Postdoc Position at UAH (Spain)

University of Alcalá, Resarch group GRAM. | Alcalá de Henares (Spain)

We are seeking 2 postdocs to join the GRAM research group team in beautiful Alcalá de Henares, Madrid (Spain). The topics of the two postdoc positions are as follows: 1) Efficient and smart transportation and mobility. In particular, the candidate will address the problem of deploying vehicle counting models for monitoring traffic congestions over a large-scale network of video surveillance cameras. 2) Fine-grained Online Activity Detection for Smart Transportation and Mobility. The main target of this project is to develop robust solutions for automatic activity detection in extended videos. Typically, an advanced intelligent transportation system needs to work with long videos, that normally arrive in an online fashion. These extended videos contain significant spans without any activities and intervals with potentially multiple concurrent fine grained activities. Candidates are expected to have a strong background in deep learning and computer vision. If interested, please directly contact Prof. Roberto López-Sastre. Attach to the email a copy of your CV WITH a list including all your publications.

More info | Contact: Roberto J. López-Sastre | Posted on: 2019-06-08 15:49:54 UTC

Visiting Scholar

Pensees Pte Ltd | Singapore

PENSEES Research Institute in Beijing and Singapore invites suitably qualified persons for the above position, under its ‘Visiting Scholar Graduate Program’ to conduct research on an approved topic while in residence in Singapore or Beijing. As a Visiting Scholar*, you will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment. Job Responsibilities: As a Visiting Scholar, you will be responsible to: 1) Define, develop and review all existing and proposed applications for technical design plus development of all major customer or AI projects; 2) Understand, produce and maintain all relevant project documentation 3) Evaluate complex technical issues, deliver recommendations and present technical assistance for applications of advanced theory, principles, concepts and methods 4) Evaluate new products, tools and services and render recommendations 5) Correspond and work with multi-agency/institutional working teams for AI projects and comply with regulations, work practices, and industry or site-specific work rules. Job Requirement: To be considered for this position, you will need: • PhD/MSc in the area of Machine Learning, Computer Vision or Pattern Recognition • Project experience and excellent skills in the use of programming languages such as C/C++/Python/Java, familiar with data structures, Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments • Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Good communication skills, proactive attitude and passionate about new technologies and ideas to follow the latest technological developments and implement cutting-edge algorithms for business applications • Priority will be given to those with publications and awards in international competitions for algorithms and ML/DL/computer vision research and development. Experience in facial recognition and Computer Vision is preferred If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR 2019 and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai *Visiting Scholars must be sponsored by a faculty member of an educational institute in Singapore, who is willing to act as an advisor to the proposed research project. It is the responsibility of a prospective Visiting Scholar to contact appropriate faculty members and arrange for such sponsorship. As an Industry Partner, we partner the educational institute to provide industry experience in cutting edge technologies.

More info | Contact: Evelyn Tan | Posted on: 2019-06-08 15:47:34 UTC

Post-Doc / Intern - AL Algorithm Scientist

Pensees Pte Ltd | Singapore

PENSEES Research Institute in Beijing and Singapore invites suitably qualified persons for the above position. As a Post Doctorate or Intern as AI Algorithm Scientist, your wish is to embark on a career as a AI Algorithm Scientist. You will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment. Job Responsibilities: As a AI Algorithm Scientist, you will be responsible to: 1) Design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security; 2) Assist in the migration, optimization, maintenance and testing of algorithm modules for real applications; 3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and work closely with scientists and engineers to drive systems from prototyping to production level; 4) Involve in the submission of papers, taking part in research conferences and competitions. Job Requirement: To be considered for this position, you will need: • PhD/Masters/Bachelor’s Degree in the area of Machine Learning, Computer Vision or Pattern Recognition. • 1 - 3+ years of experience in DL, ML algorithms and model development • Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments. • Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Strong ability to follow the latest technological developments and implement cutting-edge algorithms for business applications. • Good communication skills, proactive attitude and passionate about new technologies and ideas • Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development. Experience in facial recognition and Computer Vision is preferred If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR 2019 and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai

More info | Contact: Evelyn Tan | Posted on: 2019-06-08 15:47:17 UTC

Senior AI Algorithm Scientist

Pensees Pte Ltd | Singapore

PENSEES Research Institute in Beijing and Singapore invites suitably qualified persons for the above position. As a Senior AI Algorithm Scientist, you will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment. Job Responsibilities: As a Senior AI Algorithm Scientist, you will be responsible to: 1) Lead a team of scientists to fine-tune, design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security; 2) Development and optimisation of state-of-the-art deep learning models using frameworks such as TensorFlow, Py Torch, etc and testing of algorithm modules for real applications; 3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and work closely with scientists and engineers to drive systems from prototyping to production level; 4) Involve in the submission of papers, taking part in research conferences and competitions. Job Requirement: To be considered for this position, you will need: • PhD/Masters/Bachelor Degree in the area of Machine Learning, Computer Vision or Pattern Recognition. • 5+ years of experience in DL, ML algorithms and model development • Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments. • Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Strong ability to follow the latest technological developments and implement cutting-edge algorithms for business applications. • Good communication skills, proactive attitude and passionate about new technologies and ideas • Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development. Experience in facial recognition and Computer Vision is preferred If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR2019 and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai

More info | Contact: Evelyn Tan | Posted on: 2019-06-08 15:47:04 UTC

AI Algorithm Scientist

Pensees Pte Ltd | Singapore

PENSEES Research Institute in Beijing and Singapore invites suitably qualified persons for the above position. As an AI Algorithm Scientist, you will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment. Job Responsibilities: As a AI Algorithm Scientist, you will be responsible to: 1) Design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security; 2) Assist in the migration, optimization, maintenance and testing of algorithm modules for real applications; 3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and work closely with scientists and engineers to drive systems from prototyping to production level; 4) Involve in the submission of papers, taking part in research conferences and competitions. Job Requirement: To be considered for this position, you will need: • PhD/Masters/Bachelor’s Degree in the area of Machine Learning, Computer Vision or Pattern Recognition. • 3+ years of experience in DL, ML algorithms and model development • Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments. • Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions • Strong ability to follow the latest technological developments and implement cutting-edge algorithms for business applications. • Good communication skills, proactive attitude and passionate about new technologies and ideas • Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development. Experience in facial recognition and Computer Vision is preferred If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai Our Chief Scientist will also be at CVPR2019, and you can send your CV and contact her at jane.shen@pensees.ai Find out more about Pensees at www.pensees.ai

More info | Contact: Evelyn Tan | Posted on: 2019-06-08 15:46:50 UTC

Computer Vision Research Scientist

Mitsubishi Electric Research Lab (MERL) | Cambridge, MA

The Computer Vision Group at MERL is seeking qualified applicants for a position as a computer vision research scientist. Applicants must have a Ph.D. in Computer Science, Electrical Engineering or related areas with research activities focused on Computer Vision, and have a documented track record of creative innovation that has led to successful research outcomes. Candidates with at least 5 years of experience will be considered for senior positions. Applicants are expected to have excellent programming skills, and be able to communicate effectively in both written and verbal forms. MERL conducts fundamental, academically oriented, cutting-edge research that is applied to challenging industrial problems such as object, action and scene understanding, robotic vision, and autonomous driving, as well as surveillance and monitoring systems. We publish all of our research, present at conferences, review papers and participate in the academic communities. Due to this, MERL alumni easily transition back into a university setting if that is their path. We have the benefits and resources of a large corporate parent, but the MERL environment is small, collaborative, interdisciplinary and creative with smart management, ample resources, and minimal bureaucracy. Best of all, researchers spend at least half their time pursuing their own research interests, and every researcher has a private office with a whiteboard and door enabling them to have a quiet space to work and think. With more than 25 years of innovation, MERL is proud to foster an environment that gives researchers the opportunity to set their own path and pursue their passions. The culture at MERL, which values both fundamental scientific contributions and its application to real business, allows for all of our researchers to become leaders in their field. There is no other industrial lab with this level of freedom and flexibility.

More info | Contact: Alan Sullivan, Ph.D. | Posted on: 2019-06-08 15:40:51 UTC

Senior Graphics Software Engineer

Intuitive Surgical | Sunnyvale, CA

The Company: Intuitive, maker of the da Vinci® surgical system and Ion® endoluminal system, was founded with a simple belief: Medical intervention should help people recover as quickly and completely as possible. In more than two decades working closely with care teams and hospital leaders, we’ve learned that human understanding, smart systems and instruments, and digital insights are needed to enable better outcomes. We call this Intelligent Surgery. And, with six million procedures performed by tens of thousands of surgeons worldwide, we’re more passionate than ever about innovating for minimally invasive care. Please visit our company’s website for more information: https://www.intuitive.com/ Eligibility: 5-7 years of experience in software engineering for computer graphics. Roles and Responsibilities: • Develop the state-of-the-art techniques for planning and intraoperative guidance in image-guided surgery. • Analyze data and report real-time performance, accuracy, precision and sensitivity of algorithms to uncertainties. • Evaluate system performance with large datasets. • Participate in the in-vivo experiments and contribute to the product development efforts. • Conduct technical design reviews with team members. • Prepare documentation and user manuals for the system. Qualifications Skill/Job Requirements: • Graduate level degree (computer science, electrical engineering or equivalent) preferred. • Excellent background in software design patterns and data structure is required. • Excellent C/C++ programming skills required. • Proficiency in one of the GPU programming languages (CUDA, OpenGL or Vulkan) is required. • Knowledge of, and experience with, medical imaging technologies (e.g., CT, MRI) is preferred. • Being able to demo a self-developed system software in the areas of computer graphics/vision or augmented-reality is a big plus in the interviews. • Knowledge of numerical techniques and optimization is a plus. • Experience working with DHFs and standards in a regulated industry (e.g. medical devices) is a plus • Must have excellent communication and writing skills. • A passion for learning and getting to the root of complex technical problems • A desire to deliver a quality and innovative product that improves people’s lives Commitment: Must be available to work full-time hours. We are an AA/EEO/Veterans/Disabled employer. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Contact: Pourya.Shirazian@intusurg.com

More info | Contact: Pourya Shirazian | Posted on: 2019-06-08 15:39:33 UTC

Principal Data & Applied Scientist

microsoft |

Are you excited about working on a new AI product that augments humans who need to reason with unstructured information? The AI Architecture and Strategy team is well on its way to create this breakthrough product in long-term partnership with a handful of the largest enterprises globally. The product harvests, creates and harnesses a diverse range of AI models and automatically makes their output intelligible to humans on demand. Our product design point is to help people make sense of information buried in mountains of documents, conversations, photos, videos, 2D and 3D scans, molecular and genetic representations, and emerging device and sensor signals. If you are looking for an environment that actively blurs the distinction between engineers and applied scientists, and where involving the customer is just another day at the office, then this is the team for you! Responsibilities As an Applied Scientist on the team, you will be responsible for: Keeping abreast of research trends in the field of Deep Learning and AI. Think through a problem from inception to shipment. Exploring applications of Deep Learning across multiple domains and identifying models that can bring value to our customers in those domains. Training models that can then be deployed at scale. Work independently and collaboratively with other research and product teams. Qualifications Successful candidates must have: Required PhD in Computer Science with focus on Artificial Intelligence. 5+ years’ experience in the areas of machine learning, computer vision, natural language processing or data mining. Familiarity with Deep Learning frameworks like PyTorch, Tensorflow, and CNTK. Good communication skills, both verbal and written. Passionate and self-motivated. Preferred Published top-tier papers in related areas. Strong coding and development skills. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-08 15:37:33 UTC

Data & Applied Scientist 2

microsoft |

Are you excited about working on a new AI product that augments humans who need to reason with unstructured information? The AI Architecture and Strategy team is well on its way to create this breakthrough product in long-term partnership with a handful of the largest enterprises globally. The product harvests, creates and harnesses a diverse range of AI models and automatically makes their output intelligible to humans on demand. Our product design point is to help people make sense of information buried in mountains of documents, conversations, photos, videos, 2D and 3D scans, molecular and genetic representations, and emerging device and sensor signals. If you are looking for an environment that actively blurs the distinction between engineers and applied scientists, and where involving the customer is just another day at the office, then this is the team for you! Responsibilities As an Applied Scientist on the team, you will be responsible for: Keeping abreast of research trends in the field of Deep Learning and AI. Think through a problem from inception to shipment. Exploring applications of Deep Learning across multiple domains and identifying models that can bring value to our customers in those domains. Training models that can then be deployed at scale. Work independently and collaboratively with other research and product teams. Qualifications Successful candidates must have: Required PhD in Computer Science with focus on Artificial Intelligence. 3+ years’ experience in the areas of machine learning, computer vision, natural language processing or data mining. Familiarity with Deep Learning frameworks like PyTorch, Tensorflow, and CNTK. Good communication skills, both verbal and written. Passionate and self-motivated. Preferred Published top-tier papers in related areas. Strong coding and development skills. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-08 15:36:27 UTC

Associate Scientist

DeepMotion.com | San Francisco, Bay Area

DeepMotion is seeking innovative researchers to develop the next generation of motion intelligence pipeline and technology. The focus of this role is on full body capture from video or VR sensories, reconstruction and simulation of life-like interactive motor behaviors. The ideal candidates have a passion and hands-on experience in computer vision, physics based animation, machine learning, motion control, animation pipeline and 3D full-body pose estimation.

More info | Contact: Kevin He | Posted on: 2019-06-08 15:33:45 UTC

Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen

Labs of Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse) | Toulouse (France)

We are seeking talented and motivated students and post-docs for a number of open positions, in a collaborative effort between the labs of Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse). The positions will be based in Toulouse (France), with numerous opportunities to travel, in particular for visits to and close collaborations with the Serre lab at Brown University (USA). The successful candidates will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. Applicants for the Ph.D. positions should hold a Masters degree or equivalent. Applicants for the post-doc positions should hold a PhD, or expect to receive their PhD shortly. Candidates must have a strong background in computer vision and/or computational neuroscience and/or machine learning. Excellent python programming skills and Tensorflow/PyTorch experience are required. Additionally, applicants at the post-doc level should ideally have a track record of relevant publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.). Exceptional candidates with a primary degree in Neuroscience and strong programming/quantitative abilities will also be considered. The fellows will be located in a state-of-the-art facility within the new ANITI (Artificial and Natural Intelligence Toulouse Institute) research center in Toulouse, France. They will be part of the AI Research Chairs held by Thomas Serre ("Reverse-engineering the brain") and Rufin VanRullen ("Deep Learning with semantic, cognitive and biological constraints"). They will also benefit from a lively local community of Deep Learning researchers: the Toulouse Interdisciplinary Deep Learning "TIdDLe" group (https://tiddle-group.github.io). Perks include competitive salaries, clement weather, high quality of life, vibrant research environment. To apply, send a CV, a short (<1 page) explanation of research interests, and the name of 3 potential referees to thomas_serre@brown.edu and rufin.vanrullen@cnrs.fr The positions start in Fall 2019 (later start dates can be negotiated), the application procedure is and will remain open until all positions are filled. ******* For more information about ongoing research projects in our labs, consult: http://serre-lab.clps.brown.edu/ and http://cerco.ups-tlse.fr/~rufin/ Some relevant papers: D. Linsley, J. Kim, & T. Serre. Sample-efficient image segmentation through recurrence. ArXiv 2019. https://arxiv.org/abs/1811.11356 D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. Neural Information Processing Systems, 2018. https://neurips.cc/Conferences/2018/Schedule?showEvent=11042 D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and where to attend. International Conference on Learning Representations, 2019. https://openreview.net/forum?id=BJgLg3R9KQ VanRullen, R., Reddy, L. (2019). Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. Nat Comm Biol. https://www.nature.com/articles/s42003-019-0438-y VanRullen, R. (2017). Perception Science in the age of Deep Neural Networks. Front. Psychology 8:142. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.00142/full McLelland, D. & VanRullen, R. (2016). Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. PLoS Comput Biol 12(10), e1005162. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005162

More info | Contact: Serre, Thomas | Posted on: 2019-06-08 15:32:44 UTC

PhD position in Deep Learning for 3D Reconstruction

Eurecat | Barcelona, Spain

The Technology Center of Catalonia (Eurecat) is offering a PhD studentship in the area of Computer Vision and Graphics, to be developed in collaboration with the Technical University of Catalonia (UPC). The candidate will work within the Image group at Eurecat and the ViRVIG center at the UPC, both located in Barcelona, Spain. The research will be centered around 3D acquisition and deep learning, aiming at exploring and go beyond current state of the art solutions for capturing shape and appearance using deep neural networks. The studenship will begin on September 2019 and will have a duration of 3 years. Interested candidates should have an MS degree in computer vision, machine learning, or a related field as well as good programming skills. The application should be submitted by 16 June. All nationalities are welcome. Specific work permits will be checked later.

More info | Contact: Carles Bosch | Posted on: 2019-06-08 15:29:01 UTC

Research scientist position (postdoc) in biomedical image analysis (Japan)

Brain Image Analysis Uni - RIKEN, Center for Brain Science | Wako-City, Saitama, Japan

###### Lab ###### The position is available at the Brain Image Analysis Unit, which is a part of the interdisciplinary “Brain/MINDS project (https://brainminds.jp/en/)” at the Center for Brain Science (CBS), RIKEN, Japan. Lab website: http://bia.riken.jp/ , CBS website: https://cbs.riken.jp/en/faculty/bia/ ###### Job description ###### The selected candidate will join the interdisciplinary Brain/MINDS project, and as a member of the unit will contribute to the development and implementation of image processing and image analysis techniques with a focus on (marmoset) brain image data. The work will be done in a highly interdisciplinary research group consisting of scientists from the neural-scientific and medical research fields. The emphasis is on developing cutting-edge technologies that improve current state-of-the-art and publishing high impact work in top-tier journals in order to build a substantial resume and strong international collaborations. Experiences in biomedical image analysis is an advantage but not a requirement. This job may be a great opportunity to apply knowledge and expertise from the computer vision and/or image processing field to new problems in the biomedical field. ###### Location ###### Wako-City - RIKEN is located in very close proximity to the northern part of Tokyo. http://www.riken.jp/en/access/wako-map/. The RIKEN campus is quite large and offers cafeterias, coffee shops, and a convenient store. From the nearest train station, it is only a 12 min train ride to the Ikebukuro-Station (Tokyo). The Ikebukuro-Station is a hub which connects many famous places in Tokyo, including Shinjuku (9 min train ride), Shibuya (18 min train ride) or Akihabara (19 min train ride). Many people prefer to avoid crowded streets and trains in their daily life and are living in close proximity to RIKEN. However, those who prefer living close to the nightlife and entertainment spots in Tokyo benefit from commuting out of the city in the morning, and returning in the evening (significantly less crowded than the other way around). ###### Qualifications ###### The candidate should have or be expecting to receive a Ph.D., by the time of employment, in related fields and have relevant research skills and experience in developing algorithms for the analysis/processing of biological/medical/neural images, computer vision, machine learning, deep learning, optimization, simulation, or similar fields, demonstrated by high-quality publications + good English communication skills + proficiency in a programming language (such as C++/Python/JS) + good communication skills and ability to cooperate ###### Employment and Application ###### Start: October, 2019 (negotiable). For further details, please refer to the job posting URL https://cbs.riken.jp/en/careers/20190530_w19047_bia_r.html

More info | Contact: Henrik Skibbe | Posted on: 2019-06-08 15:22:31 UTC

Chief Data Scientist

Spark Insights | Bosto

Spark Insights is an early stage stealth mode company based in Boston on a mission to develop a broad range of solutions for the insurance industry using big data, advanced modeling, machine learning, and artificial intelligence. We are looking for a talented computer vision and machine learning expert to lead the R&D direction of Spark Insights Machine Learning and Data Science team. You will be focused on building and leading a team developing and deploying image processing, machine learning and deep learning solutions that will have impact in the financial services and insurance industries. As Chief Data Scientist you will: Lead and inspire a team to develop computer vision & machine learning systems from prototype to production. Research, architect, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems. Keep up with state-of-the-art in computer vision, data science and deep learning and apply them to improve and create new solutions. Develop and implement state-of-the-art computer vision algorithms for object detection, classification, segmentation, or recognition. Translate business requirements into quick prototypes or proof of concept and work with customers directly to uncover operational objectives. Core Requirements: Ph.D. or MS in computer science, machine learning, physics, or engineering 8+ years satellite image related industry experience Strong academic background with prominent research that’s been recognized at leading conferences and journals. Track record of success building and leading a machine learning group at a recognized tech company or a successful startup. Proficiency with TensorFlow, Keras, or other deep learning frameworks. Proficiency in C/C++, Python and associated packages, and image pre-processing methods. Excellent written and verbal communication skills and ability to communicate effectively to both technical and nontechnical audiences. Technical fluency; comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members. Preferred Qualifications: Proficient with AWS or Azure cloud computing environments. Proficient with a distributed computing platform (GeoMesa, GeoTrillis, Hadoop, Spark, etc.). Experience with parallel/distributed computing or HPC systems. Experience with prototyping on NVIDIA/DGX or equivalent architecture and hardware. Experience in computer vision or machine learning for anomaly and defect detection applications. *You must be authorized to work in the US. Spark Insights is committed to providing equal opportunity for all employees and applicants without regard to race, color, religion, sex, sexual preference/orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, veteran status, or any other protected classification under applicable law.

More info | Contact: Kathryn Graves | Posted on: 2019-06-08 15:20:54 UTC

Software Engineer

NeoSoft | Pewaukee WI

NeoSoft, a fast-growing leader in cardiac MR and CT medical devices, is seeking an exceptional candidate to fill a position in our Software Engineering department as a Software Engineer. Requirements: Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Has working knowledge and understanding of the design patterns and design documentation techniques (such as story boarding, flowcharts, and UML diagrams). Protects operations by keeping information confidential. Provides information by collecting, analyzing, and summarizing development and service issues. Accomplishes engineering and organization mission by completing related results as needed. Develops software solutions by studying information needs; conferring with the team; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle and the established quality control processes. Required Skills and Experience: Bachelor's degree in Software Engineering, Computer Engineering, Computer Science or other related field. Good understanding of Object-Oriented programming concepts and User Interface design. Proficiency and experience in one or more of the following; Java, C, C++, C#, Android and/or Apple development. Act as a mentor for junior developers. Works with Software Architects on design activities. Java-J2SE and/or Java Swing experience is a plus. Working knowledge of 3D visualization and/or image processing is a plus. Working knowledge of DICOM, design patterns and data structures is a plus. Ability to independently implement a design based on UML diagrams. Experience in an ISO-certified environment. Position requires extra hours beyond the normal business day in order to meet deadlines.

More info | Contact: Liz Sielaff | Posted on: 2019-06-05 02:28:27 UTC

Software Engineer II

Redmond | Washington, United States

In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! Biometrics is becoming the mainstream technology for authentication in both consumer and enterprise space. Windows Hello Face Authentication is one of the most delightful windows 10 feature which brings secure and convenient experience to millions of users. The team is looking for researchers and engineers at all levels to accelerate the development of the biometric technology for multiple product lines. Responsibilities • Design, implement and improve code for biometrics authentication system • Result analysis and algorithm tuning to maximize performance • Evaluate and optimize code to meet timing and memory requirements • Define customized hardware Qualifications • Bachelor, Master, or PhD Degree in Computer Science, Computer vision, Machine Learning, Statistics, or equivalent • 3+ years of research or product development experience in computer vision, deep learning, machine learning or AI technology. • Strong problem solving and software development skills (C/C++, C#, etc.). • Excellent communication skills Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:25:30 UTC

Researcher

Redmond | Washington, United States

It has never been a more exciting time at the Computer Vision Group in Microsoft Cloud & AI! We continue to build state of the art technology and deliver the platform that serves as the foundation for Microsoft’s AI Perception and Mixed Reality Strategy. Responsibilities The Computer Vision Group is looking for Researchers/Research Engineers at all levels in Computer Vision and Deep Learning, broadly defined. At this position, you will conduct both fundamental and applied research, build core technologies in machine learning and computer vision, publish your results, prototype and execute, together with engineers, all the way to impact various products in the areas of cloud and edge intelligence, such as Microsoft Cognitive Services and Pix. Preferred candidate must have: Qualifications Basic Qualifications: Ph.D. in Computer Vision, Deep Learning, Machine Learning, AI or a related field. At least 3 years of research experience in computer vision, deep learning, machine learning, and AI methodology. Publications in top-tier conferences and journals in related fields (e.g., CVPR, ECCV, ICCV, NIPS, ICML, ICLR, SIGGRAPH etc.). Strong algorithmic problem solving and software development skills (C/C++, Python, C# etc.). Ideal candidate would have one or more of the following preferred qualifications: Experience with deep learning, video analysis, 3D computer vision, and mobile augmented reality Strong cross-group collaboration skills Excellent communication and writing skills Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:24:55 UTC

Sr. Software Engineer

Redmond | Washington, United States

In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! Responsibilities The Custom Vision team in Cognition builds products to make computer vision AI capabilities accessible to the widest audience possible. We leverage the power of deep neural networks under the hood to let users construct their own custom models tuned to their own particular scenarios. When one size doesn’t fit all, we step in to allow developers to tailor their computer vision AI, whether they have a background in machine learning or not. We are looking for an individual well versed in the infrastructure challenges associated with training large machine learning models that can be deployed and edge devices. In this role, you will Develop software and algorithms for computer vision and machine learning problems. Perform analysis on computer vision algorithms to diagnose and optimize the algorithms for performance(speed/memory/accuracy) improvement on GPU/NPU. Develop core computer vision engine that powers edge devices Write maintainable code with design document and unit tests and perform code reviews. Work closely with researchers to implement new computer vision techniques and algorithms. Qualifications Strong engineering experiences in large scale software development. Minimum of 5 years of software development experiences with strong track record of product deliverables. Experience in computer vision, training deep neural network(DNN). Hands-on experience with proven track record of developing algorithms or systems in computer vision or other subfields of artificial intelligence. D. in Computer Science (or related discipline) or Masters with relevant experience. Proficiency in C/C++/Python development. Ability to understand and implement complex algorithms efficiently and correctly Demonstrated cross-team collaboration skills, leadership, writing and communication skills An agile and strategic thinker and detail oriented, with the ability to handle a diverse number of concurrent activities. Bonus points There are plenty of other skills that aren’t required, but you’ll find useful in this role. Let us know if you have experience with computer vision, embedded system software development or related discipline. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:24:14 UTC

Research Scientist - Mixed Reality

Zürich | Zürich, Switzerland

In Mixed Reality, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse ground-breaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented scientists and engineers putting technology on a human path across all Windows devices, including Microsoft HoloLens, Kinect for Azure, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! The new Microsoft lab in Zurich is located near ETH Zurich, the top technical school in continental Europe, enabling close collaboration in multiple areas. The city of Zurich, Switzerland, is centrally located in Europe and consistently ranks among the top cities in the world for quality of life. The Microsoft Mixed Reality & AI lab in Zurich, Switzerland, is a new research team building the future of mixed reality. We are passionate about using computer vision to map and understand the environment, recognize and track relevant objects, and assist the user in performing the task at hand. The team aims at building up a diverse expertise across computer vision, graphics, machine learning, robotics, interaction, and software engineering. We are looking for talented computer vision and machine learning researchers and software engineers: people who love to invent and build new stuff that really works and can be deployed to millions of users. Responsibilities Computer Vision – Contribute with your expert knowledge in one of the following domains: Develop advanced solutions for geometric computer vision problems (i.e.., structure-from-motion, visual-inertial localization, SLAM, multi-view stereo, etc.) by fusing visual and inertial information from multiple cameras, IMUs, and other sensors. Develop advanced solutions for computer vision problems with a focus on action recognition, human body and hand pose estimation, hand-object interaction understanding, on both egocentric and third-person scenarios. Apply Optimization and Machine Learning to the computer vision problems explained above. Research and Engineering – Investigate challenging unsolved problems and design novel solutions by rapidly prototyping and evaluating the ideas using data/test driven analysis. Develop the prototypes into real products using strong software engineering skills. Academic Collaborations – Leverage the close collaboration with ETH Zurich and other excellent academic partners for exploratory research with the opportunity to publish at top conferences or journals. Consultation – Provide expert advice in your area of expertise across the organization. Qualifications Must be passionate about incubating new ideas, solving problems, and building working systems Excellent oral and written communication skills Should hold a PhD or similar degree in computer vision, machine learning or robotics or have suitable alternate expertise and experience. Ideally, the candidate has a strong publication record with research results published at top-tier conferences and journals (CVPR, ECCV, ICCV, ICRA, IROS, TPAMI, NeurIPS, ICLR, etc.) Must be strong programmers with software engineering experience and good debugging skills. Experience in the following would be advantageous: C++ (esp. C++11 and newer), C, Python, C# GPU programming (esp. CUDA) High- and low-level code optimization Should have hands-on experience working on at least one of: 3D computer vision Machine learning, esp. deep learning Probability and statistics Numerical algorithms, e.g., non-linear optimization Robotics and control systems Novel sensing hardware Should have strong mathematical skills Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:23:32 UTC

Software Engineer II

Redmond | Washington, United States

In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, Windows Mixed Reality headsets, and motion controllers. We believe in success through a compelling and comprehensive developer story for Mixed Reality platforms. If you do too, we need you! Role description The Spatial Mapping team creates software that enables Mixed Reality devices to understand the shape of their environment. By sharing this understanding with developers via public APIs, we facilitate real-world spatial reasoning such as occlusion, collision, placement, navigation, and more. As a member of the Spatial Mapping team, you will design and implement algorithms for creating digital representations of the real world environment, build tools to visualize, evaluate and improve these algorithms, and provide APIs for accessing the algorithm outputs. We are looking for someone who enthusiastic about collaborating with peers and partner teams to build technology that merges the real world and the virtual world. Responsibilities Collaborate with peers and partners to expand our spatial understanding capabilities Design, implement and optimize algorithms for reconstructing the environment in C++ Develop APIs for sharing Spatial Mapping capabilities with developers Build tools for inspecting and debugging the Spatial Mapping system Implement and analyze telemetry for measuring success rates and detecting failure cases Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals Qualifications A BS, MSc or PhD degree in Computer Science or equivalent 3+ years of experience programming in C++ and familiarity with STL Background in one of the following: Computer Vision, Photogrammetry, or Computer Graphics Knowledge of vector mathematics, linear algebra and 3D geometry A passion for problem solving, software design and writing high quality code Excellent written and verbal communications skills Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:22:57 UTC

Software Engineer II

Redmond | Washington, United States

In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! Responsibilities • Research, improve, design, implement, bring-up, optimize, and validate cutting-edge human tracking algorithms on low-level, multicore systems • Own the quality of your software • Work in close partnership with a team of diverse and talented peers in various disciplines including Silicon, Hardware, Program Management and Quality teams • Own accurate design and costing for your engineering activities • Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals Qualifications • A BS, MSc or PhD in Computer Science or equivalent, advanced degree preferred • 4+ years of relevant software design and development experience preferably on shipped consumer products or platforms • Deep native development skills in C/C++ design and coding • Proven experience working through the full product cycle from initial design to final product • Outstanding technical problem solving and debugging skills • Excellent optimization skills working in a multi-threaded environment • Excellent written and verbal communications skills Bonus points There are plenty of other skills that aren’t required, but you’ll find useful in this role. Let us know if you have experience with computer vision and/or machine learning. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:20:31 UTC

Senior Software Engineer

Redmond | Washington, United States

In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, Windows Mixed Reality headsets, and motion controllers. We believe in success through a compelling and comprehensive developer story for Mixed Reality platforms. If you do too, we need you! The Spatial Mapping team creates software that enables Mixed Reality devices to understand the shape of their environment. By sharing this understanding with developers via public APIs, we facilitate real-world spatial reasoning such as occlusion, collision, placement, navigation, and more. As a member of the Spatial Mapping team, you will design and implement algorithms for creating digital representations of the real world environment, build tools to visualize, evaluate and improve these algorithms, and provide APIs for accessing the algorithm outputs. We are looking for someone who enthusiastic about collaborating with peers and partner teams to build technology that merges the real world and the virtual world. Responsibilities Design and develop large scale distributed software services and solutions Design, implement and optimize Computer Vision algorithms for 3D reconstruction Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals Qualifications A BS, MSc or PhD degree in Computer Science or equivalent 6+ years of experience programming in C++ and familiarity with STL Experience with Windows drivers/APIs or Azure development Background in Computer Vision or Photogrammetry Knowledge of vector mathematics, linear algebra and 3D geometry A passion for problem solving, software design and writing high quality code Excellent written and verbal communications skills Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:19:43 UTC

Software Development Lead

Mountain View | California, United States

The Cloud and AI Business - Hardware Division develops ground-breaking hardware that entertains customers and unleashes innovation. This is the team that has delivered the Hololens.   Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together-whether that’s colleagues brainstorming around a giant digital whiteboard, scientists “meeting” on the surface of a virtual Mars, or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all devices, including Microsoft HoloLens, Windows Mixed Reality headsets, Kinect for Azure, the Internet of Things, Tablets, Desktops and more! We believe Mixed Reality technology empowers every person and organization to achieve more. If you do too, we need you! Do you like Holograms and all things 3D? Cool-- we do too! The HoloLens Sensors team is looking for a talented Software Development Lead to join us to build and test the software, tools, and infrastructure needed to advance the state-of-the-art for sensors in the products listed above and more! Responsibilities Responsibilities: Lead a small team (3-5) of software engineers to develop and maintain multiple layers of software including sensor firmware, embedded processing, device drivers, application layer APIs, and high-level tools & GUIs Develop world class code, tools, documentation, and reports suitable for direct product integration Participate actively in detailed design, code reviews, bug/issue triage with feature teams and support well informed decisions towards engineering, customer and business goals Collaborate with other experts on the Sensors team to prototype new technologies, algorithms, formfactors, and incubate our product roadmap Champion software development best practices including code reviews, test methodology, and documentation Qualifications Required Qualifications: BS in Computer Science or similar (mathematics, EE, etc.) with 5+ years of related industry experience Deep native development skills using Python and C/C++ in a team development setting across full product life cycle from specification through sustaining phase Outstanding technical problem solving and debugging ability Proven experience collaborating across disciplines and broad teams Self-motivated to learn and execute with attention to detail in documentation and execution Ability to handle technical and design ambiguity Experience working with distributed software project management tools such as those in Azure DevOps: Planning & Execution Management (Kanban Boards, Scrum Sprints) Version Control (Git) Documentation (Wiki, Sphinx) Automated Test/Continuous Integration (Pipelines, Jenkins, *CI, or similar) Preferred Qualifications: MS or PhD in Computer Science or similar, or equivalent work experience 3+ years of management or Dev Lead experience Experience with MATLAB programming Experience working in a lab setting with hands-on equipment Experience with any/all of the following are a plus: Performance critical code such as SIMD processor extensions or GPU programming Digital image sensors Image processing Computer Vision UI frameworks DevOps / Infrastructure SW Automation Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:19:02 UTC

Computer Vision Scientist

Redmond | Washington, United States

We in Computer Vision and AI at Microsoft are at the frontier of creating technologies that use Scene, Object and Human Understanding with computational frameworks spanning Intelligent Devices, such as Hololens and Smartphones, and an Intelligent Cloud for ubiquitous intelligence. We are a growing team of talented researchers, engineers and artists putting technology on all devices, including Microsoft HoloLens, the Internet of Things, Robots, Phones, Tablets, Desktops, connected to Microsoft’s Intelligent Cloud. We are creating a better way for people and robots to work and play in a human and physical world through Augmentation of Humans and Machines. Come join us in creating this future! Responsibilities We’re looking for a scientist/engineer to join our team. You will be part of a group that uses the latest science and engineering practices, works on cutting-edge technologies, and solves complex problems in computer vision and visual learning • The ability to address issues ranging from fundamental algorithm development, implementation and optimization to delivering product outcomes. • The ability to serve as a technical leader while making significant individual contributions. (No managerial experience required). Qualifications • A degree in Computer Vision, Machine Learning, or related technical field. (at least an MS degree required; PhD is preferred). • 2+ years of research and development experience in computer vision, visual learning or applied vision such as in robotics. Let us know if you have industry experience, an academic and/or corporate research background, or experience with embedded platforms. • Strong communication skills for effective technical and personal team interactions. • Experience using off the shelf tools in Vision, Video and Deep Learning. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

More info | Contact: Prachi Mehrotra | Posted on: 2019-06-05 02:18:09 UTC

Postdoctoral Fellow for Medical Image Analysis

New York University School of Medicine | New York, USA

We are looking for a postdoctoral fellow who is interested in developing deep learning methods to discover imaging biomarkers for predicting the knee osteoarthritis progression from magnetic resonance images. We are interested in working on methods for improving the classification accuracy and exploring human level interpretability of developed methods. The postdoctoral fellow will work as a part of an interdisciplinary team with an expertise in musculoskeletal imaging and machine learning research. Expected Qualifications: * PhD (or near completion thereof) in computer science, machine learning, electrical engineering, or a related field. * Two years of hands-on experience with deep neural networks * Excellent programming skills, preferably in Python * Experience with volumetric data

More info | Contact: Cem M. Deniz | Posted on: 2019-06-05 02:12:03 UTC

Researcher (Computer Vision / Machine Learning)

Toshiba Research Europe Ltd | Cambridge, UK

Committed to People, Committed to the Future. The Toshiba Group is an ambitious and forward-thinking brand, which is recognised for its history of world leading manufacturing and design of advanced electronics and information systems. Our staff are our greatest asset. We recruit the most talented researchers and allow them to work in a well-resourced, multicultural and academic environment to promote independent thought and creativity. Publishing at major conferences and in top journals is our main objective, and you will be able to actively contribute to our collaborations with Oxford and Cambridge Universities (Associate Membership is also possible), and the Toshiba Corporate R&D Center in Japan. For more information please find the link to our job advertisement below.

More info | Contact: Stephan Liwicki | Posted on: 2019-06-05 02:10:06 UTC

Postdoc Position at NTU Singapore

Division of Mathematical Sciences at NTU | Singapore

I would like to offer a postdoc position within my research group at the Division of Mathematical Sciences at NTU Singapore. My research focuses on: • machine learning algorithms, their convergence rates, and their applications in finance and insurance • model uncertainty in financial markets • annuity contract theory • financial and insurance mathematics • stochastic analysis and stochastic optimal control The position would be for 2 years, which could be extended for additional 2 years. Moreover, it comes with no teaching load. If you are interested in the position, please submit the following documents - CV - List of publication - Research statement (max 5 pages) - 2-3 letters of recommendation (sent directly by the author) to my email address: ariel.neufeld@ntu.edu.sg. I look forward to hearing from you.

More info | Contact: Ariel Neufeld | Posted on: 2019-06-05 02:09:06 UTC

Research Scientist with all levels of experience

12 Sigma Technologies | San Diego

Company Overview: Headquartered in San Diego, California, 12 SIGMA Technologies （图玛深维）is a well-funded start-up company focused in applying artificial intelligence and deep learning into modern medical image diagnostics and data analytics. We also have R&D teams at Beijing, Shanghai, and Suzhou in China. 12 Sigma have already signed collaboration agreement with top-tier hospitals in Beijing, Shanghai and other cities in China. We work closely with our partners in conducting medical diagnostics, technical research and clinical trials. 12 Sigma offers competitive salaries, benefits, and visa (H1B, Green Card) sponsorship. Job Responsibilities: Design and develop state-of-the-art computer vision and deep learning-based algorithms for analyzing 2D/3D medical image data. The core algorithms include detection, recognition, segmentation, registration, retrieval, etc. Implement and optimize core analytical algorithms for our software product on GPU, CPU, and Cloud-based platforms. Job Qualifications PhD in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience Strong expertise in computer vision and machine learning, with solid understanding of neural networks and the underlying math Publications at top conferences and journals, or successful industry experience Extensive experience in designing deep convolutional neural networks using Caffe or similar platforms (TensorFlow, Theano, MxNet, etc.) Proficient programing skills in C/C++ and Matlab, experience with ITK preferred Excellent communication and presentation skills Ability to work efficiently both as an individual and as a team member in a fast-pace working environment Ability to quickly learn new skills and knowledge

More info | Contact: Jing Cai | Posted on: 2019-06-05 01:53:51 UTC

Medical Imaging Engineer

Intuitive Surgical | Sunnyvale CA

Joining Intuitive Surgical means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and decreasing surgical invasiveness, with patient safety as our highest priority. Primary Function of Position: The engineer will play an important technical role in the development of image guidance for da Vinci surgical procedures. The primary function of the position is to use machine learning and classic medical imaging methods to develop and optimize manual and automated image segmentation tools and processes for high quality 3d models from volumetric imaging data. Accomplishing these goals will involve collaboration with multiple functional teams at Intuitive, including user interface developers, segmentation technicians, and medical experts (surgeons and radiologists). Roles and Responsibilities: . Assume responsibility for meeting image segmentation goals, including quality and time requirements. . Work with medical experts to understand clinical requirements and to help define segmentation requirements for different organs and different end-use cases. . Develop and optimize automated and semi-automatic segmentation algorithms for volumetric images (CT, MRI) of various organs and deliver product software implementations. . Support the integration of algorithms into Intuitive segmentation software tools. . Coordinate the acquisition, organization and delivery of ground truth medical image data for use in algorithm development. . Systematic testing and continuous improvement of algorithm performance. . Generate formal design documentation and file patent applications. Skill/Job Requirements: . A passion for developing real-life applications to improve people's lives. . Strong verbal and written communication skills. . Master's degree in Computer Science, Electrical Engineering or Biomedical Engineering with minimum of 3 years of relevant experience. A PhD degree is preferred. . Deep understanding of and hands-on experience in machine learning and deep learning with image data. . Proficiency in OOP using C++ and/or Python and strong implementation skills. . Solid background in mathematics of image processing. . Advanced knowledge and experience in one or more areas: image segmentation, image registration, medical image analysis, or computer vision. . Familiarity with at least one deep learning libraries (e.g., TensorFlow, PyTorch, Caffe, etc). Familiarity with one or more tools and libraries: ITK, OpenCV, NumPy is a plus. . Experience with software development process in a regulated environment is a plus.

More info | Contact: Tao Zhao | Posted on: 2019-06-05 01:44:38 UTC

3 year post-doc position in Italy as Assistant Professor in nDeep Learning for document analysis

Univerity of Modena and Reggio Emilia, Aimagelab | ITALY

University of Modena and Reggio Emilia (UNIMORE) is one of the oldest universities in the world, since 1175 with 15 Departments, and more than 20.000 students. Aimagelab @UNIMORE is a research Lab of the Department of Engineering “Enzo Ferrari” with more than 25 people working in computer vision, deep learning and pattern recognition (Aimagelab@unimore.it). We will have available since September 2019 a position of Assistant professor (RTDA: Researcher, type A, following Italian standard calls, subject to examination). Required Phd degree in computer engineering or computer science and experience in computer vision and pattern recognition for image understanding. Research topic regards knowledge extraction from historical digitized documents by Deep Learning, with digitized datasets from the most important artstis/historical Libraries in Italy and in the world. Experience in NLP are welcome. In the contract 60hours of teaching lecturers are required. Please contact prof. Rita Cucchiara (rita.cucchiara@unimore.it) or segreteria.aimagelab@unimore.it and send the CV for a skype contact

More info | Contact: prof. Rita Cucchiara | Posted on: 2019-06-05 01:43:30 UTC

Sr. Engineering Manager/Sr. Principal Engineer

HERE Technologies | Chicago, IL USA

What’s the role? HD Live Map is a critical component to enable automated driving. The Perception team is tasked to create, maintain HD Live Map automatically and accurately and engage in close collaboration with our customers and partners in automated driving. We have a growing world-class team of engineers who are experts in computer vision, machine learning and 3D point cloud analysis. This role is to take on challenging problems and lead a team or be the technical lead to develop novel solutions that are scalable. Who are you? . PhD in computer science, mathematics or related discipline with focus on computer vision or machine learning, or equivalent experience · More than 5 years of experience conducting CV research and software development · More than 2 years of experience being a technical lead or managing a team of research engineers and developers · Experience hiring, growing and retaining engineers. · Demonstrated ability interacting with product and engineering teams to frame business problems into scalable computer vision solutions. · Excellent written and spoken communication skills. · Experience in influencing and collaborating effectively across all levels of the organization. Preferred Qualifications · 10+ years of experience conducting research in computer vision and machine learning · 5+ years of experience leading research projects that include highly talented science teams responsible for developing and owning complex algorithms that go beyond the state of the art. · Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field · 5+ years of experience managing R&D teams or being a technical lead. · Publication record of papers at relevant top conferences in computer vision and machine learning · Experience in the design, development, evaluation, deployment and updating of multiple customer facing computer vision and deep learning solutions. · Experience in creating the right culture and environment to ensure a diverse group of people and skillsets can flourish and deliver true breakthrough science and innovation . Automotive or mapping experience

More info | Contact: Dr. Xin Chen | Posted on: 2019-06-05 01:41:59 UTC

Computer Vision Scientist

Intuitive Surgical | Sunnyvale, CA

The Applied Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a research scientist with focus on Computer Vision, Deep Learning and Image Analytics, contributing to new technology development in the area of 3D scene understanding/reconstruction and spatial AI systems for next-generation robot-assisted surgery platforms. This role is an exciting opportunity to join a newly formed team and contribute to its growth and it will give you an opportunity to test your knowledge in a challenging problem solving environment. The successful candidate must excel in a high-energy, focused, small-team environment, be able to initiate and drive new research directions, and have a commitment to high research quality. A strong sense of shared responsibility and shared reward is required. As part of the research team, immediate responsibilities include: • Research, design and implement algorithms in deep learning for computer vision and image analytics • Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis. • Advance the state-of-the-art in the field, including generating patents and publications • Develop prototypes of 3D recognition models that scale to large clinical datasets • Develop prototypes of dense 3D reconstruction systems based on multi-view image sensors • Contribute to building new clinical datasets and data pipelines • Participate in integration of new ML/CV algorithms into existing and future robotic platforms • Experiment with several users and clinical advisors to iterate prototype designs based on feedback and performance. • Develop new technologies and digital products to improve surgeon and team performance on robotic surgery platforms. • Support academic collaborations in related fields.

More info | Contact: Omid Mohareri | Posted on: 2019-06-05 01:40:39 UTC

Research Scientist

Epic Games | Pittsburgh

Epic Games is searching for an experienced hands-on research scientist for our office in Pittsburgh. The ideal candidate will bring a passion for digital humans and experience with machine learning and animation tech. Responsibilities: • Research and implement novel methods for modeling, animating and capturing Digital Virtual Humans • Develop and apply the latest ML algorithms to learn appearance, geometry, and parametric representations from high-quality training data • Contribute new technology to the next generation of real-time graphics, media, and interactive entertainment • Interact with the scientific community, publish at top tier locations, contribute domain knowledge and advice in support of R&D efforts Qualifications: • PhD in computer vision, computer graphics, speech, machine learning/AI, or closely related field • Demonstrated publication history in highly ranked conferences and/or journals • Strong implementation and programming skills • Experience using and extending ML tools, e.g. PyTorch, TensorFlow • In-depth knowledge in one or more of the following areas: real-time graphics, animation, simulation, performance-capture, 3D reconstruction, material/reflectance modeling, neural rendering • Previous experience with face/body data-capture and processing a plus This is going to be Epic!

More info | Contact: Iain Matthews | Posted on: 2019-06-01 13:29:55 UTC

Machine Learning Data Scientist

Wayfair | Boston, MA

With 7 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, our projects span from enormously broad to minutely specific. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) determining how to implement AR technology to improve the shopping experience versus (2) optimizing diversity in the sales we highlight in a customer’s email. There is very little at Wayfair that our Data Science team does not touch. They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.

More info | Contact: Ingrid Xu | Posted on: 2019-06-01 13:27:37 UTC

Machine Learning Manager, Computer Vision team

Wayfair | Boston, MA

Wayfair’s Data Science and Machine Learning teams build the algorithmic systems that drive our business. Specifically, the Computer Vision team aims to get the customer what they want without needing words. Take for example determining how to implement AR technology to improve the shopping experience. The projects that this team works on are driven from the ground up, so we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment. In addition, they work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.

More info | Contact: Ingrid Xu | Posted on: 2019-06-01 13:27:35 UTC

Research Scientist in Computational Pathology

Reveal Biosciences | San Diego, CA

Who you are: A research scientist who has published in top tier conferences and are passionate about having a positive impact on the healthcare and medical field. You are enthusiastic about working on some of the most challenging problems using machine learning and deep learning to solve and directly contribute to products beneficial to patient care. You are very creative, can work independently, and are an excellent collaborator and communicator. | Responsibilities: 1) Perform research to advance the-state-of-the-art and solve specific problems at scale in one or more of the following areas: transfer learning, reinforcement learning, active learning, information diffusion, image classification & semantic segmentation, natural language processing. 2) Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). 3) Build production implementations of data science and engineering pipelines. | Minimum qualifications: Ph.D. in Computer Science or Electrical Engineering or a related field. Expertise with general-purpose statistics/machine learning algorithms and at least one or several of the following topics above, with demonstrated ability to deliver practical solutions. Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Good publication records in machine learning and deep learning conferences. | Technical Skills: Demonstrated proficiency in Python or, R. Solid understanding machine learning and practical experience in training and deploying models and familiar with frameworks/libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Scikit.

More info | Contact: Ami Lau | Posted on: 2019-06-01 13:24:38 UTC

Two-year Postdoctoral Research Fellow of Domain Adaptation at QUB，UK collaborating with DSTA, Singapore

Queen’s University Belfast | Belfast, UK

This research project aims at utilizing existing large-scale RGB domain data to reduce the requirements of IR-domain data (or the other domain data) for general object classification and detection by means of deep domain adaptation technique. This position provides a unique opportunity to address the problem of domain adaptation and apply to real-world scenarios. The project is hosted by the Centre for Data Science and Scalable Computing (DSSC) in the Institute of Electronics, Communications and Information Technology (ECIT), at Queen’s University Belfast, UK and collaborating with Defence Science and Technology Agency (DSTA), Singapore. **Requirements**: (1) A good undergraduate degree in a relevant discipline and a PhD in computer vision, machine learning, data science, mathematics or a clearly related area. (2) Solid mathematics knowledge and programming skills (3) Experience in delivering research project results in computer vision and machine learning, i.e. a record of peer-reviewed journal and conference papers in a relevant area. (4) Fluent in English. (5) Ability to contribute to broader management and administrative processes. (6) Contribute to the School’s outreach programme by links with industry, community groups etc **Benefits**: (1) Sufficient hardware resource; (2) Working within a vibrant research team; (3) Research visiting to Singapore.

More info | Contact: Yang Hua | Posted on: 2019-06-01 13:23:18 UTC

SLAM Engineer

isee | Cambridge, MA

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road. We are a well-funded startup and growing our team! If you are passionate about AI, robots and self-driving cars, have publications at top conferences or journals in the field of AI, Robotics, Computer Vision, or Machine Learning, and an excellent programmer, join us! Desired Qualifications: MS/PhD degree in Computer Science, Electrical Engineering, or a related field, experience with multimodal sensor fusion, calibration, SLAM/SfM, probabilistic filtering, and/or optimization.

More info | Contact: Yalu Wu | Posted on: 2019-06-01 13:21:12 UTC

Computer Vision Research Scientist

isee | Cambridge, MA

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road. We are a well-funded startup and growing our team! If you are passionate about AI, robots and self-driving cars, have publications at top conferences or journals in the field of AI, Robotics, Computer Vision, or Machine Learning, and an excellent programmer, join us! Desired Qualifications: Ph.D. in Computer Science, Electrical Engineering, or a related field, experience with multimodal sensor fusion, deep learning, and/or have expertise in machine learning, computer vision, localization and mapping.

More info | Contact: Yalu Wu | Posted on: 2019-06-01 13:21:10 UTC

Computer Vision Engineer

isee | Cambridge, MA

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road. We are a well-funded startup and growing our team! If you are passionate about AI, robots and self-driving cars, have publications at top conferences or journals in the field of AI, Robotics, Computer Vision, or Machine Learning, and an excellent programmer, join us! Desired Qualifications: MS/PhD degree in Computer Science, Electrical Engineering, or a related field, experience with sensor software development, deep learning, and/or expertise implementing vision and perception algorithms.

More info | Contact: Yalu Wu | Posted on: 2019-06-01 13:21:08 UTC

Machine Learning Engineer

isee | Cambridge, MA

isee, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road. We are a well-funded startup and growing our team! If you are passionate about AI, robots and self-driving cars, have publications at top conferences or journals in the field of AI, Robotics, Computer Vision, or Machine Learning, and an excellent programmer, join us! Desired Qualifications: MS/PhD degree in a machine learning related discipline, familiar with large scale learning, and fluent in a modern programming language, such as C++ and/or Python.

More info | Contact: Yalu Wu | Posted on: 2019-06-01 13:21:07 UTC

Senior Postdoc | Data Scientist (2 positions) in Deep Learning for Multi-Gigapixel Pathology Images

University of Warwick | Coventry, UK

This is an immensely exciting opportunity to join the PathLAKE (Pathology image data Lake for Analytics, Knowledge and Education) centre team based in the Department of Computer Science, as a Senior Research Fellow (Data Scientist). PathLAKE has received over £15m funding from Innovate UK and industrial partners to build a world-class image data repository and develop AI tools to improve diagnosis and deliver precision treatments. Leading the computational arm of PathLAKE, the team at the University of Warwick, led by Professor Nasir Rajpoot, has received over £2.2m. We are recruiting a new team of researchers and developers in order to build a massive multi-purpose pathology image data lake and develop novel AI tools to demonstrate diagnostic efficiencies of computer-aided testing of pathology samples and to identify accurate predictive response markers. As a data scientist on the project, you will work on the development of PathLAKE Analytics Engine offering cutting-edge, massively parallelisable, industry-grade deep learning based solutions for computer-aided screening in large clinical databases of multi-gigapixel pathology images and for predicting response to particular therapies for cancer patients. You will also be expected to contribute to the building and operation of the PathLAKE Data Lake as well as to the development of the AI solutions for regulatory approvals and deployment into a clinical setting.

More info | Contact: Nasir Rajpoot | Posted on: 2019-06-01 03:26:01 UTC

Postdoc position in computer vision

Khalifa University | Abu Dhabi, UAE

A full time post-doc position is available in the department of Electrical and Computer Engineering in Khalifa University (www.ku.ac.ae). This position is initially limited in time to a period of two years with potential for contract prolongation. Prospective candidates should have a degree in Computer Science, Electrical Engineering or a related field. Postdoctoral applicants must have published in top venues for Machine Learning, Computer Vision, and Image Processing. In this project, our goal is to develop efficient image classification methods that can perform well under limited and weakly labelled data. We expect good programming skills in languages such as Python, C and/or MATLAB. Experience with deep learning frameworks would be a plus.

More info | Contact: Hasan Al-Marzouqi | Posted on: 2019-05-29 09:21:52 UTC

Postdoctoral Position in Vision/ML at Northeastern University

Northeastern University | Boston

The Mathematical Data Science Lab at Northeastern University is soliciting applications for postdoctoral researchers with strong background and interests in computer vision and machine learning. The areas of interest are structured data summarization, few/zero-shot learning, deep learning and discrete optimization. The position is for one year, with the possibility of extension up to three years. The preferred start date is September 2019 or January 2020. Interested applicants should email a CV, research statement and contact information of 2-3 references to Prof. Ehsan Elhamifar (e.elhamifar@northeastern.edu).

More info | Contact: Ehsan Elhamifar | Posted on: 2019-05-29 09:15:31 UTC

DEEP LEARNING POSTDOC POSITIONS IN LIFELONG LEARNING AND GENERATIVE MODELS IN BARCELONA

Computer Vision Center Barcelona | Spain

We are seeking a postdoc to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The position is for 2 years (with an optional 1-year extension). The position will remain open until a good candidate is found. LAMP is in the Computer Vision Center at the Universitat Autònoma de Barcelona and performs research on active learning, continual learning, few-shot learning, generative models, encoder-decoder networks, self-supervised learning, etc. The position is on an industrial sponsored project with 2 postdocs and four PhD students. The subjects include lifelong learning (continual learning), generative models, network compression, multi-model data representation learning. PROJECT SUPERVISOR & HOSTING GROUP Joost Van de Weijer will be the supervisor. He is the leader of the Learning and Machine Perception (LAMP) team at the CVC. For more information on the LAMP team visit:http://www.cvc.uab.es/lamp/ CANDIDATE ’S PROFILE The candidate should possess a PhD in computer vision or machine learning, and have a strong publication record. We are looking for candidates who have publications in the top conferences CVPR, ECCV, ICCV, NIPS, ICML, or ICLR. The candidate should have a background in machine learning and deep learning. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. The candidate is expected to supervise PhD students. FUNDING CONDITIONS Living allowance of 30-40k€/year (gross salary) depending on experience.

More info | Contact: Dr. Joost van de Weijer | Posted on: 2019-05-29 09:08:10 UTC

Machine Learning Engineer/Intern

Innovusion | Los Altos, CA

If you are enthusiastic about machine learning, solving challenging autonomous driving perception problems, shaping the future of transportation, and have what it takes to achieve these, then this position is for you. We are seeking machine learning engineers/interns to join our highly skilled, multidisciplinary team of engineers to disrupt the autonomous driving sensor space. Main job responsibilities include (but are not limited to): 1) Designing and implementing computer vision and machine learning algorithms for LiDAR sensors and other sensors. 2) Conducting experiments. 3) Developing tools for our ML workflow and data collection/labeling/simulation processes. Requirements: 1) MS or PhD degree in CS, EE or related technical field with significant experience in deep learning. (For interns, we consider MS or PhD candidates.) 2) Strong in algorithms. Experience with computer vision. Experience in autonomous driving a plus. About Innovusion - We are a fast-growing technology company headquartered in Silicon Valley, USA, founded in November 2016 by former executives at Baidu. The Company is dedicated to the research and development, production, marketing and promotion of image-grade LiDAR systems and related intelligent perception systems that are essential to autonomous driving. Nearly 80% of our employees hold PhD and Master's degrees. They have extensive experience in research, development and mass production in the fields of precision optics, precision machinery, medical devices, autonomous driving, sensors, semiconductor chips, artificial intelligence, etc.

More info | Contact: Jing Wang | Posted on: 2019-05-24 07:01:01 UTC

Computer Vision Research Interns

Philips Research North America | Cambridge, MA

We are seeking three talented computer vision interns (3~4 months) that can start as early as possible. You will be contributing to our world-leading camera-based patient monitoring solutions (mainly on patient vital and activity monitoring). The focus will be on developing/adapting person detection and recognition algorithms to address specific clinical challenges. We have openings for both pure research (2 openings) and software development (1 opening). Prior experience in (deep) computer vision is required for our research openings. Proficiency in python or C/C++ is preferred. For software opening experience with C/C++ is a must. Note that we could only accept US-based candidates due to time limit.

More info | Contact: Haibo Wang | Posted on: 2019-05-24 06:59:29 UTC

VP of Machine Learning, Machine Learning Scientist

Overjet | Boston, MA

Overjet is an early-stage VC-backed startup building the future of data-driven dentistry. We’re a team of dentists, computer scientists, and engineers from Harvard and MIT with strong connections in academic institutions and dental practices. We are using AI to transform the $130B dental care market and improve patient outcomes. We are hiring for two roles: VP of Machine Learning and Machine Learning Scientist. We are seeking an entrepreneurially-minded person who loves challenges and is passionate about impacting millions of lives. Responsibilities: Develop machine learning algorithms and methods for disease detection, classification, and characterization from dental x-rays Design, develop and maintain machine learning infrastructure Conceive proof-of-concept prototypes that establish overall system performance Collaborate with team members from prototyping through production to advance the entire project Qualifications required: PhD/PhD Candidate in Computer Vision, Machine Learning, Robotics or related technical fields 2+ years' experience developing computer vision software, including algorithm design and systems software development Experience training deep convolutional neural networks Artificial intelligence software development experience using Python Knowledge of applied mathematics and numerical optimization Prototyping experience Preferred Qualifications: Experience with Biomedical image analysis Experience with TensorFlow, Keras, PyTorch, and other frameworks Proven publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ICML, etc. Experience with deploying machine learning models and inference at scale

More info | Contact: Deepak Ramaswamy | Posted on: 2019-05-24 06:58:05 UTC

PhD and Postdoc positions available for H2020 European project in France

Institut Pascal, Clermont-Ferrand, France | France

Project Name : SoftManBot (Advanced RoBOTic Technology for Handling SOFT Materials in MANufacturing Sectors). Beginning Date: 1st October 2019. Duration: 3 years for PhD and 2 years for postdoc. Requirements: Master on Robotics (for PhD) or PhD on robotics (for postdoc), computer vision, manipulator robot control and ROS programming. Project: SOFTMANBOT is an industrial research project that will provide an innovative robotic system for handling flexible and deformable materials within labor-intensive production processes. The system will be composed by three main pillars: generic robotic perception (perception of the product and the human operator), a multi-sensor control and planning platform (advanced control algorithms for shape and contact servoing and AI-based task generalization) and smart dexterous grippers (smart mechanical design which will embody grasping/manipulation skills and integrate sensors, mainly tactile) able to handle soft components with high-levels of robustness and flexibility. Special attention will be paid to the integration of novel robotic concepts based on aspects of safety, ergonomics, adaptability, acceptance and user experience. Industrially relevant pilot demonstrators will be implemented for four key manufacturing sectors: toys, textile, footwear and tyres. Working context: The scientific excellence and international dimensions of the work will be essential. The retained candidates will work in an international team of academic and industrial partners from 4 different European countries (Spain, France, Italy and Germany). They will travel to all these countries for the consortium meetings and participate in top international robotic conferences (IROS, ICRA). They will work very closely with engineers from the innovation services of Michelin in order to integrate real demonstrators with mobile manipulators for tyre assembly. Application: The interested candidates should send their CVs and 2 reference contacts as a single pdf file to: youcef.mezouar@sigma-clermont.fr, erol.ozgur@sigma-clermont.fr and juan.corrales@sigma-clermont.fr with [SoftManBot application] as email subject.

More info | Contact: Youcef Mezouar, | Posted on: 2019-05-24 06:54:24 UTC

Senior Software Engineer – Deep Learning

Cognex Corporation | Cambridge MA

The Company: Cognex Corporation With more than 800 patents and the largest team of industrial machine vision experts anywhere in the world, Cognex has set the standard for innovation in the machine vision industry. But our innovation goes beyond technology; we are also known for the creative programs we have designed to recognize and reward the employees whose efforts keep us at the top of our field. Our ‘work hard, play hard, move fast’ culture is challenging, stimulating and rewarding. As we continue our successful journey, we are looking to add more talented, innovative and dedicated engineers to our team. So, if you are someone who enjoys work because of the sense of accomplishment that it gives you, and if you want to be part of a high impact team working for a financially strong, global company that is the leader in the machine vision industry, then contact us, because working at Cognex is not just a job…. it’s a passion! The Team: Deep Learning Vision Technology This position is a team member of the Deep Learning Vision group in Cambridge, MA, responsible for designing and developing the most sophisticated Machine Vision software in the world. Our software is used to inspect, align, measure, and recognize all types of products from computer chips to chocolate chip cookies. Our AI Computer Vision systems are used in the production of over a billion products every day across many different industries including consumer goods, aerospace, pharmaceuticals, robotics and electronics. Industrial machine vision technology is used to analyze imagery (intensity, color, density, Z-data, etc.): to detect, identify and localize objects, to make measurements, to inspect for defects, and to read encoded data. In many cases, products simply could not be made without Cognex’s vision products. Technology development is critical to the overall business to expand areas of application, improve performance, discover new algorithms, and to make use of new hardware and processing power. Development is primarily done in C and C++. Engineers in this group typically have experience with artificial intelligence, neural networks, image analysis, machine vision, or signal processing. Success in this role has the potential to lead to increased responsibility at Cognex. The Role: This group is seeking engineers with a passion for programming to lead deep learning vision technology development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team. Essential Functions: Imagine, design, develop, code, and debug C and C++ machine vision software. Build efficient, real-time software and related libraries to run either on a PC or embedded platform. Invent, implement and optimize new vision algorithms involving deep learning AI concepts. Interact with internal or external customers. Knowledge, Skills, and Abilities: Experience in machine learning with a focus on deep learning required Strong programming skills, and experience in production coding. Experience with signal processing and/or computer vision preferred. Industrial programming experience desirable. Experience in applications of computer vision also of interest. Creative, motivated and looking to work hard for an aggressive growth company. Minimum education and work experience required: MS in electrical engineering or computer science required. PhD highly desirable. 5+ years’ experience in relevant, high-tech, industrial jobs coding in C or C++

More info | Contact: Patrick McMahon | Posted on: 2019-05-22 10:11:23 UTC

Deep Learning Researcher

Microsoft Research | Cambridge, UK

Microsoft Research Cambridge (UK) is looking for exceptional Researcher candidates in deep learning. Microsoft AI and Research works with the world's best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world's toughest challenges and improve the lives of people everywhere. The successful applicant would be expected to develop a program of research in deep learning methods, enabling new applications in processing of images, text or other structured data. This is an exceptional opportunity to drive ambitious research while collaborating with product teams in one of the largest software companies in the world. The Microsoft Research Cambridge lab hosts over 130 full-time researchers and engineers who collaboratively pursue research on machine learning, systems and networking, programming languages, synthetic biology, medical imaging and human experience and design. The application should include a curriculum vitae (CV), three referees, and a research statement (approximately 2-4 pages) which takes into account the unique opportunities provided by the Microsoft Research environment. Further information is available at the following websites: https://www.microsoft.com/en-us/research/careers/ https://www.microsoft.com/en-us/research/lab/microsoft-research-cambridge/ https://www.microsoft.com/en-us/research/group/machine-intelligence-and-perception/ QUALIFICATIONS Expert understanding of state-of-the-art deep learning techniques, evidenced by a strong publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, …) or product development. Hands-on experience with current frameworks (e.g., TensorFlow, PyTorch, or DyNet). Interest in deep research with high real-world impact. Completed PhD (or close to completion of PhD). Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances

More info | Contact: James Budnik | Posted on: 2019-05-22 10:09:12 UTC

Senior Engineering Technologist

Dell |

Dell is a collective of customer-obsessed, industry-leading visionaries. We believe that technology is essential for driving human progress, and the technology we provide transforms the way we all work and live. But we are more than a technology company — we are a people company. We recognize that over 100,000 employees across six continents have different interests and aspirations. We inspire, challenge and respect each and every one of them, every day. Working in the CTO Advanced Research team is fast paced and exciting. We work collaboratively with our global peers in the CTO office, with our product development organizations, and with customers, partners, and vendors. We strive to understand new technologies as they emerge in the industry, create exemplary proof of concepts demonstrating the potential of these technologies, and innovate example product use cases that inform Dell product roadmaps and influence customer perceptions. Work/life balance is important to you. Job Description Conducts independent research in one or more technology areas, with specific focus on advanced software programs and algorithms, to help broaden Dell EMC’s intellectual property portfolio, advance our technology leadership, and influence future product roadmaps. Main duties will include creating functional proof-of-concepts that demonstrate the results of research conducted, along with white papers and/or presentations that outline the innovation of the research. Research projects will span multiple technological areas, including but not limited to cloud-native infrastructure, machine learning, advanced data protection techniques, containers, microservices, open source, intelligent hardware architecture, network and other emerging technologies. Principal Duties and Responsibilities · Conduct analyses of technology trends to understand impact on Dell EMC · Communicate with senior management as requested · Provide support on technical issues to business organizations · Deliver technically-focused presentations to internal and external audiences · Collaborate with university partners and with other companies to expand the company's knowledge of emerging results in these areas · Leading technical projects, architecture, research, and implementation of new technologies · Participate in CTO Forums as requested · Demonstrated history of innovation Skills · Strong programming and debugging skills in one of the following languages such as Java, Python, C++. · Research experiences in one or more of the following areas: Cloud native applications, micro-services, multi-cloud Machine learning/AI for infrastructure reliability, scalability, security, & consistent performance Advanced hardware, novel heterogeneous infrastructure, serverless environment Software and network security, data protection Novel network and dynamic network technologies, IoT edge architecture leveraging 5G · Understanding of business environment · Communication skills · Cross-Functional/Team-work skills · Ability to work in a high-pressure environment · Ability to independently deliver from idea through design to code completion for proof of concepts · Fast learner, can work independently · Appropriate understanding of computer architecture Education: Masters and above in Computer Science, Electrical Engineering, Software Engineering, Applied Math or equivalent with 3~5 years’ experience, PhDs preferred.

More info | Contact: Zhen.Jia | Posted on: 2019-05-22 10:07:21 UTC

Applied Researchers at All Levels

Center of Applied Research, Tencent PCG | Seattle, WA, US and Shenzhen, China

We are hiring Applied Researchers at all levels in the areas of Computer Vision (CV), CV+NLP, Machine Learning, and Deep Learning for connecting the right content (including videos) with the right users. If you have at least two recent top conference/journal papers in the above areas, and can code, please take a look at the link for an example JD (in Chinese), and reach out if interested.

More info | Contact: Ying Shan | Posted on: 2019-05-22 10:05:06 UTC

Post-Doctoral Research Fellow

The Australian Institute for Machine Learning (AIML) at the University of Adelaide | Australia

AIML is Australia’s leading research institute in machine learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, AIML is committed to delivering research that has been independently assessed and ranked by the Australian Research Council as performing well above world standards in AI and machine learning. The Post-Doctoral Research Fellow will forge new ground in artificial intelligence by developing cutting-edge algorithms that combine statistical machine learning with symbolic and logical reasoning to adapt to new domains and data sources with few or no training examples. To be successful you will need experience in one or more of the following areas-Vision-and-language technology including Visual Question Answering, Meta-learning, Memory-augmented networks or Neural Turing Machines, Deep reinforcement learning, Generative and explainable models, Deep learning in general. This is a unique opportunity to work with world-leading researchers in computer vision and machine learning and be at the forefront of developments in AI.

More info | Contact: Ian Will | Posted on: 2019-05-22 10:03:58 UTC

Senior Machine Learning Engineer

The Australian Institute for Machine Learning (AIML) at the University of Adelaide | Australia

AIML is Australia’s leading research institute in machine learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, AIML is committed to delivering research that has been independently assessed and ranked by the Australian Research Council as performing well above world standards in AI and machine learning. Working under broad direction, the Senior Machine Learning Engineer will lead a small team to deliver machine learning solutions for challenging real-world problems that will make a difference in people's daily lives. The Senior Machine Learning Engineer will manage the complete systems development life-cycle for computer vision and machine learning software solutions including: scoping and planning projects; managing a small team of software engineers; working with experts to develop machine learning algorithms; taking responsibility for delivery of software to end users. To be successful you will need-Proven experience in industrial software engineering with extensive experience in one or more of Linux OS, C++, Java, Python, Experience in applying machine learning to client problems, Demonstrated experience of successfully leading and managing a team in a technical environment, Experience in software project management, A PhD in a relevant area is preferable, but not essential. This is a unique opportunity to work with world-leading researchers in computer vision and machine learning and be at the forefront of developments in AI.

More info | Contact: Ian Will | Posted on: 2019-05-22 10:03:07 UTC

Imaging Scientist

Konica Minolta Business Solution | San Mateo, CA

Konica Minolta Business Solution is seeking an experienced engineer in the field of Image Processing, Computer Vision and Machine Learning to design and develop algorithms and solutions including, but not limited to document image analysis, medical image or image sequence analysis, robotic vision, etc. Required skills: Proven track record of algorithm design and development for commercial products on schedule; Ability to deliver from solution idea to design and development; Solid knowledge and experience on Image Processing, Pattern Recognition, Computer Vision and Machine Learning technology; Strong programming skills in C/C++; Capability of decision-making and problem solving in complicated system.

More info | Contact: Wei Ming | Posted on: 2019-05-22 10:01:29 UTC

Computer Vision Engineer

Standard Cognition | San Francisco

At Standard Cognition, we're building the future of retail and changing the way the world shops. We're creating autonomous checkout, a system that lets shoppers grab what they want from a store and be charged automatically. Our goal is to be the standard way people check out across the world. To do this we deploy large (10-100+) multi-view camera installations into dynamic retail environments. Everything we do starts with our camera feeds: we need accurate 3D reconstruction for tracking, derived geometric features for our deep learning models, coverage maps for our installation team. Retail environments come with their own challenges: cameras need to be calibrated in a store that never closes, and auto-calibrate if they ever move, all without placing any known objects in the scene. We're looking for engineers excited by such problems, with a strong understanding of multi-view geometry, an inventive eye for developing new techniques for our unique challenges and a desire to efficiently scale computer vision into large installations around the world. Responsibilities: Design and implement systems and algorithms for reconstructing dense 3D models of retail environments using multi-view geometry and deep learning. Build algorithms that provide real-time scene understanding capabilities for other systems like tracking and action recognition. Implement systems that help us build long-term spatial and temporal understanding of dynamic retail environments.

More info | Contact: Kylin Ellison (recruiter) | Posted on: 2019-05-22 09:56:54 UTC

Machine Learning Engineer

Standard Cognition | San Francisco

At Standard Cognition, we're building the future of retail and changing the way the world shops. We're creating autonomous checkout, a system that lets shoppers grab what they want from a store and be charged automatically. Our goal is to be the standard way people check out across the world. To do this, we're building a real time vision based scene comprehension engine in order to provide customers with a seamless checkout experience. We're looking for awesome Machine Learning Engineers to take ownership of individual models in this engine. We build and experiment with a huge diversity of different approaches, and love people who aren't afraid to jump around. If you're background is in NLP, speech, or RL, that's great! We love researchers and engineers with all kinds of backgrounds, and find that a diversity of perspective helps the problem solving process. You'll be iterating on new model architectures to handle complex shopping scenarios as well as identifying and addressing deficiencies in our datasets and identifying key metrics to optimize in order to maximize the overall accuracy for our customers. A successful Machine Learning Engineer will iterate on lots of different approaches, and be able to identify the most promising avenues for further exploration. If this sounds like fun, we'd love to hear from you!Responsibilities: Implement machine learning models for stages of our pipeline including person detection, item classification, and action recognition Integrate latest research to test SOTA models on our custom datasets Adapt pre-existing models to better handle the details of our particular problem set Integrate models into real time streaming pipeline

More info | Contact: Kylin Ellison (recruiter) | Posted on: 2019-05-22 09:56:12 UTC

Research Engineer in Deep Embedded Vision & Multiple Computer Vision Research Positions

NAVER LABS Europe | Grenoble, France

We're currently inviting applications from candidates who are excited about contributing to the invention, development and benchmarking of computer vision technologies that can be efficiently embedded in devices such as mobile phones, dashcams, robots and autonomous vehicles to allow for real-time inference. S/he will also contribute to the deployment of these technologies in a number of NAVER flagship products and services. NAVER LABS Europe is France's biggest industrial research organization in AI, conducting fundamental and applied research in autonomous vehicles, 3D mapping, AR and robotics. We encourage active participation in the academic community and our researchers regularly collaborate with world-class public research groups. We also regularly publish in venues such as CVPR, ICCV, ECCV, TPAMI and IJCV and release datasets for public use, such as our Proxy Virtual Worlds dataset. Please apply online for the Embedded Vision position at https://europe.naverlabs.com/job/research-engineer-deep-embedded-vision/ and for a research position in Computer Vision here https://europe.naverlabs.com/job/computer-vision-research-scientist-multiple-positions/

More info | Contact: Naila Murray | Posted on: 2019-05-22 09:54:17 UTC

Postdoctoral Research Fellows (3 positions) in Deep Learning for Multi-Gigapixel Pathology Images

University of Warwick | Coventry, UK

This is an immensely exciting opportunity to join the PathLAKE (Pathology image data Lake for Analytics, Knowledge and Education) centre team based in the Department of Computer Science, as a Research Fellow. PathLAKE has received over £15m funding from Innovate UK and industrial partners to build a world-class image data repository and develop AI tools to improve diagnosis and deliver precision treatments. Leading the computational arm of PathLAKE, the team at the University of Warwick led by Prof Nasir Rajpoot has received over £2.2m. We are recruiting a new team of researchers and developers in order to build a massive multi-purpose pathology image data lake and develop novel AI tools to demonstrate diagnostic efficiencies of computer-aided testing of pathology samples and to identify accurate predictive response markers. As research staff on the project, you will work on research and development of one or more of the following: efficient techniques for construction of the pathology image data lake; deep learning based image analytics methods for computer-aided screening in large clinical databases of multi-gigapixel pathology images; deep learning based image analytics methods for predicting response to particular therapies for cancer patients. You will also be expected to contribute to the development and operation of systems for the data lake as well as to the development of the AI tools for regulatory approvals and deployment into a clinical setting.

More info | Contact: Nasir Rajpoot | Posted on: 2019-05-22 09:53:13 UTC

PostDoc Position: Oceanic Machine Vision @ GEOMAR Kiel / Germany

GEOMAR Kiel | Germany

The Oceanic Machine Vision Group at GEOMAR Kiel offers a fully funded PostDoc position (starting June 2019 or later) in the context of robust underwater visual mapping, SLAM for autonomous robots, camera (auto-)calibration and deep sea vision with challenging lighting conditions. If you have a PhD in machine vision or visual robotics and practical experience in use and calibration of cameras and you are willing to connect geometric and radiometric models for underwater vision and to develop theoretically well-founded solutions for challenging and exciting real world problems, then you have found the right location. GEOMAR Helmholtz Centre for Ocean Research Kiel is one of Germany's large research facilities and among the internationally leading institutes in the field of marine sciences, operating in all oceans. The goal of the Oceanic Machine Vision Group is to bring machine vision to the deep sea with challenging localization, lighting and visibility conditions.

More info | Contact: Dr. Kevin Köser | Posted on: 2019-05-22 09:51:51 UTC

Research Software Engineer for 6-DoF VR Video

University of Bath | Bath, UK

To feel truly immersed in virtual reality, one needs to be able to freely look around within a virtual environment and see it from the viewpoints of one’s own eyes. The main focus of this job is to oversee the software development within the project team and assist with extending image-based rendering to 360° environments for enabling 6-DoF motion within a photorealistic 360° environment with high visual fidelity. The Research Software Engineer is expected to promote best practices with respect to software design, implementation, testing, version control and documentation. Another focus of this job is to translate research algorithms into plugins for industry-standard software like Foundry’s CaraVR/Nuke, for example for reconstructing the 3D geometry of the environments from the captured images and videos of 360° environments. Closing date: 17 June 2019.

More info | Contact: Christian Richardt | Posted on: 2019-05-19 15:00:40 UTC

Doctoral Candidate and Master’s Thesis Positions in Medical Image Analysis

Aalto University | Helsinki, Finland

A fully funded PhD position and a M.Sc. thesis position are available at the Aalto University (Helsinki, Finland) in medical/biomedical image analysis. We welcome candidates with background in any of the following fields: medical image analysis, computer vision, machine/deep learning, computational microscopy, data science and statistics, radiomics, etc. The candidates will have the opportunity to collaborate with medical research groups (e.g. Helsinki University Hospital, Turku University Hospital) and industrial partners (e.g. MVision AI), which will provide them access to large real-world clinical and research datasets. Some potential research areas are: * Cancer screening and diagnosis: e.g. detecting/segmenting lesions/tumors from CT/MRI/digital pathology slides, and grading cancers. Comparing performance of automated solutions to the current clinical workflows. * Image segmentation: Lesions/tumours from CT/MR/digital pathology slides, organs-at-risk from CT/MR/CBCT, cells/nuclei from digital pathology slides and various live-cell microscopy techniques, etc. Developing methods for estimating the quality of automated results, reducing the time/effort required for manual verification/corrections, etc. * Medical image translation: e.g. Synthetic CT generation from MR for MR-based radiotherapy and its applications for data augmentation and domain adaptation. The specific topic of the research will be chosen together with the candidate to match his/her interest. Supervisors and contacts: * Saad Ullah Akram, Visiting Postdoc at Department of Computer Science, Aalto University, Chief Scientific Officer at MVision AI, saad.akram@aalto.fi * Juho Kannala, Assistant Professor of Computer Vision, Department of Computer Science at Aalto University. Email: juho.kannala@aalto.fi, Tel:+358503537744. Interested applicants should email their CV and transcript of university course grades to Saad Ullah Akram (saad.akram@aalto.fi) by June 6, 2019. PhD candidates are also encouraged to provide the contact information of 2 references. The review of applications will be done on a rolling basis, so early submissions are strongly encouraged.

More info | Contact: Saad Ullah Akram | Posted on: 2019-05-19 14:59:42 UTC

Computer Vision and Machine Learning Researcher

Computer and Analytic Sciences Research | Washington DC Area

The Computer and Analytic Sciences Research group at the National Security Agency has open positions for computer scientists, engineers or mathematicians interested in research on computer vision and machine learning. This is an exciting opportunity for a highly motivated scientist. Strong technical background and problem solving skills are important. Experience and an advanced degree with a focus on machine learning or computer vision are desired. The position entails research and development of new approaches for improving image or video classification. The new hire will work in a strong teaming environment and have access to some of the latest computational resources. Also, the new hire will have opportunities to collaborate with researchers in academia, or monitor research on grants, contracts or CRADAs. All candidates must be U.S. citizens. If interested, you may apply to the following job opening: https://apply.intelligencecareers.gov/job-description/1123917 or reach out to the contact listed below.

More info | Contact: Terry Adams | Posted on: 2019-05-17 16:10:24 UTC

Computer Vision Scientist

Watson Health Imaging, IBM France | Gentilly, France (adjacent to Paris, France).

As part of the Watson Health Imaging division, you will join a highly entrepreneurial "Rapid Development team" of AI scientists and Software developers who are shaping the future of healthcare for the industry and for IBM. The team develops AI solutions that combine imaging and clinical data to enhance clinical decision making. The team is responsible for developing and validating robust and scalable text analytics and image analytics and applications. We are looking for self-motivated and driven candidates that are passionate about working on cutting edge technologies and that thrive in a highly collaborative environment. We are seeking individuals who will join the Algorithm team in France, and work together with other scientists in USA, Canada and Israel. Required Technical and Professional Expertise: 0-4 years experience post doctorate, or 5+ years experience post Master's with solving real-world problems using Data Analytics, Computer Vision and Machine Learning; Strong experience in Machine Learning, including deep learning and statistical models; Strong Programming skills (Java/J2EE, C++, Python) ; - Strong publication record in peer reviewed conferences and journals Preferred Technical and Professional Experience: Strong knowledge of medical imaging domain, having applied computer vision and machine learning techniques on modalities such as X-ray, CT, MR, Ultrasound

More info | Contact: Pauline Stefanski | Posted on: 2019-05-17 16:08:52 UTC

MS/PhD Positions at KAUST Vision-CAIR Group

KAUST Vision-CAIR group | Thuwal, SA

We are looking for passionate AI researchers to join the Visual Computing Center (multiple openings) at the beautiful KAUST campus. In particular, prospective graduate students will be working on Computer Vision and Machine Learning fundamental research. Our Visual Computing Center faculty contributed to making KAUST among the top #10 worldwide in Computer Vision & Graphics from 2014-2019 according to csranking.org; http://csrankings.org/#/fromyear/2014/toyear/2019/index?vision&graph&world. The desired qualifications include previous experience in deep learning (e.g., pyTorch/TensorFlow), strong programming skills (python, C/C++ ), and understanding of current machine learning approaches and generative models. The MS/PhD students will have access to world-class compute with near thousand GPUs and are encouraged to interact with our world-class experts in different AI areas. Interested students are encouraged to contact me and visit this openings page for details and the read starting "please send me an email in the following format" on how to follow-; http://www.mohamed-elhoseiny.com/openings. A few highlights of the research areas and the work we do in our lab. Imagination Inspired Vision (Connecting Zero-Shot Learning and Creative AI);https://www.dropbox.com/s/ocbqi5bhp72ko0s/Elhoseiny_Imagination_Inspired_Vision.ppsx .Video on United Nations; https://www.youtube.com/watch?v=YaimaN03q24 .Video on Creative Fashion Generation at the high impact Facebook F8 Conference; https://developers.facebook.com/videos/f8-2018/design-design-inspiration-from-generative-networks/ A few highlights of the research areas and the work we do in our lab. Imagination Inspired Vision (Connecting Zero-Shot Learning and Creative AI) Video on United Nations Coverage Video on Creative Fashion Generation at the high impact Facebook F8 Conference: Website : http://mohamed-elhoseiny.com. If you will are at CVPR or ICML at long beach; you are welcome to stop by us at KAUST booth.

More info | Contact: Mohamed Elhoseiny | Posted on: 2019-05-17 15:23:58 UTC

Senior Engineering Technologist

Dell EMC, CTO Advanced Research team | Shanghai, China

Job Description Conducts independent research in one or more technology areas, with specific focus on advanced software programs and algorithms, to help broaden Dell EMC’s intellectual property portfolio, advance our technology leadership, and influence future product roadmaps. Main duties will include creating functional proof-of-concepts that demonstrate the results of research conducted, along with white papers and/or presentations that outline the innovation of the research. Research projects will span multiple technological areas, including but not limited to cloud-native infrastructure, machine learning, advanced data protection techniques, containers, microservices, open source, intelligent hardware architecture, network and other emerging technologies. Principal Duties and Responsibilities · Conduct analyses of technology trends to understand impact on Dell EMC · Communicate with senior management as requested · Provide support on technical issues to business organizations · Deliver technically-focused presentations to internal and external audiences · Collaborate with university partners and with other companies to expand the company's knowledge of emerging results in these areas · Leading technical projects, architecture, research, and implementation of new technologies · Participate in CTO Forums as requested · Demonstrated history of innovation Skills · Strong programming and debugging skills in one of the following languages such as Java, Python, C++. · Research experiences in one or more of the following areas: Cloud native applications, micro-services, multi-cloud Machine learning/AI for infrastructure reliability, scalability, security, & consistent performance Advanced hardware, novel heterogeneous infrastructure, serverless environment Software and network security, data protection Novel network and dynamic network technologies, IoT edge architecture leveraging 5G · Understanding of business environment · Communication skills · Cross-Functional/Team-work skills · Ability to work in a high-pressure environment · Ability to independently deliver from idea through design to code completion for proof of concepts · Fast learner, can work independently · Appropriate understanding of computer architecture Education: Masters and above in Computer Science, Electrical Engineering, Software Engineering, Applied Math or equivalent with 3~5 years’ experience, PhDs preferred. Please send your CVs to Zhen.Jia@dell.com

More info | Contact: Zhen.Jia | Posted on: 2019-05-16 08:24:07 UTC

Data Scientist

Spark Insights | Boston, MA

Spark Insights is an early stage stealth mode company on a mission to develop a broad range of solutions in big data, machine learning, and artificial intelligence. We are looking for new graduates with science/engineering backgrounds to join our Data Science team as Data Scientists. The mission of our Data Science team is to develop new machine learning solutions in the computer vision area. The ideal candidates are those who have solid science and/or engineering backgrounds and are willing to learn!! We will provide training programs and mentorship to help you grow with the company, converting you into a mature data scientist. You will contribute and lead to the success of company. As a Data Scientist, you will be focused on developing and deploying image processing, machine learning and deep learning solutions that will have an impact in the financial services and insurance industries. One of the advantages of the startup environment at Spark Insights is it will provide you opportunities to get hands on experience with the full product R&D cycles. You will have many options of career paths to choose from, including but not limited to, pure algorithm research, prototype development, commercial product design and scalable production in cloud. This Data Scientist position is based in Boston, MA. You must be authorized to work in the US. As a computer vision and deep learning data scientist you will: Research, design, implement, and deploy full-stack scalable computer vision, deep learning, and machine learning solutions to novel and R&D problems. Keep up with state-of-the-art methods in computer vision and deep learning and apply them to improve and create new solutions. Develop and implement state-of-the-art computer vision algorithms for object detection, classification, segmentation, or recognition. Collaborate with team members on developing computer vision systems starting from prototype to production. Translate business requirements into quick prototypes or proof of concepts and work with customers directly to uncover operational objectives. Qualifications PhD or MS in science, engineering, math, statistics or related fields. Strong foundation in courses taken in programming (4+ yrs in Python, Java, Scala, R, or combined). Computer vision related courses, CNN, image classification, semantic segmentation, RNN, etc. Experience with machine learning / deep learning tools or frameworks like Scikit learn, XGBoost, Spark, Tensorflow, Keras, or PyTorch. Excellent written and verbal communication skills and ability to communicate effectively to both technical and nontechnical audiences. Technical fluency; comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members. Desired Skills Experience with maps, QGIS, OpenLayers, spatial databases, or similar tools. Large-scale geospatial querying and analytics on distributed computing systems like GeoMesa is another big plus (and/or with spatio-temporal indexing on top of the Accumulo, HBase, Google Bigtable and Cassandra) Experience with cloud computing environments (AWS, Azure, Google cloud) Proficient with a distributed computing platform (Hadoop, Spark, etc.).

More info | Contact: Kathryn Graves | Posted on: 2019-05-15 06:47:55 UTC

Computer Vision Engineer

Anduril Industries | Irvine, CA

Responsibilities Research and implement computer vision and machine learning models Collaborate and contribute with other engineers to facilitate creation of novel systems Find the optimal balance between setting and maintaining a research direction, and day-to-day delivery of robust technologies Determine implementation and optimization of algorithms Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, Robotics or related technical field Experience developing software and algorithms for computer vision, machine learning or computer graphics applications Strong knowledge using scientific computing frameworks & strong programming skills Deep understanding of machine learning fundamentals Experience with open source computer vision and linear algebra frameworks Strong instincts for efficiency and optimization Passion for machine learning and related fields Experience working on depth sensor technology, SLAM, and/or imaging/camera systems Experience working on VR, AR and/or MR Experience with CPU/GPU programming Experience with OS internals and kernel development/debugging

More info | Contact: Kristi Radzieta | Posted on: 2019-05-15 06:46:23 UTC

SLAM Engineer

Anduril Industries | Irvine, CA

The Mapping & Localization team at Anduril is developing algorithms for reliable pose estimation in challenging, remote environments. We combine real-time fusion of visual and inertial data with locally cached maps to enable autonomous navigation under any conditions. Lattice Ghost UAS is equipped with powerful on-board compute capabilities to perform factor graph optimization at the edge, ensuring the latest sensor data is interpreted quickly. Our engineers research and field-test localization algorithms with an eye on performance and reliability. Mapping & localization engineers at Anduril develop innovative software for GPS-denied navigation and remote autonomy. Required Experience: BS in Robotics, Computer Science or related field Experience with Simultaneous Localization & Mapping (SLAM) State estimation using factor graphs Geo-referenced feature association Lidar, Optical and IMU sensors Euclidean geometry and quaternion transformations Advanced experience in MATLAB or Python Parallel computing using CUDA Passion for defending the United States and her allies Desired Experience: MS or PhD in Robotics, Computer Science, or related field Algorithm benchmarking for speed and accuracy Embedded systems (NVIDIA Jetson) Real-time optimization techniques Key-point detection and association Unmanned Aerial Systems Satellite imagery data processing Dense reconstruction and texture mapping C++ proficiency

More info | Contact: Kristi Radzieta | Posted on: 2019-05-15 06:46:20 UTC

Principal Computer Vision Engineer

C-SATS, Inc | Seattle, WA

C-SATS, now part of the Johnson & Johnson Institute, is seeking an experienced Principal Computer Vision Scientist to join our team in Seattle. Founded by a team of doctors, engineers, and biostatisticians at the University of Washington, C-SATS applies machine learning to surgical video to create and offer objective, quantitative feedback on surgeons' intra-operative skill. Responsibilities for this role will include (1) developing computer vision and machine learning techniques to extract crucial information from surgical videos, using a variety of classical and deep learning approaches; (2) Collaborating with top medical practitioners and clinical advisors to understand the surgical signals that are impactful to predict or detect; (3) Building models to support intraoperative surgical decision-making in real time, and (4) Advancing the state of the art in surgical computer vision, including generating patents and publications

More info | Contact: Angela Chapman | Posted on: 2019-05-14 12:44:52 UTC

Perception Engineer

Kodiak Robotics | Mountain View, CA

Kodiak Robotics is an autonomous technology company reimagining the long haul trucking industry. Kodiak was founded in 2018 by a group of industry veterans who helped put self-driving vehicles on the road. We are now applying that experience to bring driverless trucks to the road. Our team of perception engineers work on developing cutting-edge technologies and machine learning models to enable our self-driving trucks to make sense of the world. This requires detection, recognition, tracking and understanding of all relevant objects in the surroundings of the vehicles. It is vital to perform these tasks precisely for safe navigation in complex traffic scenarios by relying on a diverse set of sensors including LIDARs, cameras and radars. If you are a skilled software engineer with experience in C++ and strong problem-solving skills, are passionate about solving real-world robotics problems, and you have worked on autonomous robots before, check out our job postings at www.kodiak.ai/careers. Prior knowledge of working with deep neural networks is a strong plus.

More info | Contact: Alix Woodruff | Posted on: 2019-05-14 12:40:33 UTC

Postdoc and Faculty Position in Biomedical Imaging Analysis and AI

Intelligent Computing for Clinical Imaging (ICCI) lab | University of Pittsburgh

We are hiring both postdocs and/or entry-level faculty members. Please make contact for details if interested. I am available to meet in person during CVPR 2019. Send me an email in advance. We are looking for highly self-motived applicants with excellent research background and scholarly track-records. The specific postdoc position will focus on developing quantitative imaging analysis and machine/deep learning methods and apply them to large-scale clinical studies. Ideal candidates should have a PhD (or equivalent) degree (by the starting time of the job), a strong first-degree in computer science, information science, electronic engineering, bioengineering, or closely related subjects. Skills and experience on image processing, machine/deep learning, and computer vision are preferable. Strong programming experience in Matlab, C/C++, Python, and deep learning platform is required. Additional knowledge or experience in biostatistics is a plus. Applicants should have excellent ability working independently and collaboratively, and demonstrated skills on oral and written communication in English. The position is available immediately (starting date is flexible) with yearly renewable contract. Initial appointment of the job is for one year and renewal is subject to performance and funding availability. Successful applicants will join a world-class research environment and benefit from working closely with multidisciplinary basic scientists at Pitt and Carnegie Mellon University (CMU) and physicians/clinicians at UPMC. Our group, Intelligent Computing for Clinical Imaging (ICCI) lab, is composed of members with diverse backgrounds (computer science, radiology, pathology, oncology, surgeon, biology, and biostatistics) working in multi-modality medical imaging analysis, Artificial Intelligence, and clinical applications, currently having 16 trainee members and > 15 physician collaborators. UPMC is the leading integrated health care delivery system and recognized a Top-Ten institution in the America’s Best Hospitals Honor Roll. The Pitt Radiology Department is one of the nation’s largest and most productive radiology departments with nationally recognized clinical programs in breast cancer. Pittsburgh has been named many times the “most livable city” by The Economist and Forbes. Interested applicants should send an application(all materials in a SINGLE PDF file) to Dr. Shandong Wu with a short letter of motivation (including anticipated available date), a curriculum vitae, and contact information for two or three references (reference letters are not required at this time). For more information you are welcome to contact Dr. Shandong Wu by email. Shandong Wu, PhD Assistant Professor of Radiology, Biomedical Informatics, Computer Science, and Bioengineering Director, Intelligent Computing for Clinical Imaging (ICCI) lab Technical Director for AI Innovations in Radiology Department of Radiology, University of Pittsburgh Adjunct Professor, Machine Learning Department, Carnegie Mellon University 3362 Fifth Ave, Pittsburgh, PA 15213 Tel: 412-641-2567; Fax: 412-641-2582 E-mail: wus3@upmc.edu University of Pittsburgh is an equal opportunity employer.

More info | Contact: Shandong Wu, PhD | Posted on: 2019-05-14 12:39:16 UTC

COMPUTER VISION & MACHINE LEARNING ENGINEER

Tortuga AgTech | Denver, Colorado

Do you want to help build real technology for a meaningful purpose? Do you want to fight to make the world’s fresh produce healthier, tastier, and more sustainable? As a Computer Vision & Machine Learning Engineer at Tortuga, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold meaningful equity and are excited to grow your role as Tortuga grows. What you’ll do Build the visual intelligence behind our autonomous robotics Design and implement real-time algorithms for object detection, classification, tracking, and segmentation Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions On occasion (<10%), travel domestically or internationally to field deployments What we’re looking for Required: 2-5+ years professional experience in computer vision and machine learning Professional C++ and Python programming experience B.S./M.S. Computer Science/Engineering, Robotics, or relevant degree Preferred: Experience developing a production system with 3D geometric vision approaches such as: optical flow, stereo calibration, iterative closest point, SLAM/Visual Odometry, Bundle Adjustment Experience developing a production system with ML techniques such as: support vector machines, random forests, k-means clustering, maximum likelihood techniques, and deep learning architectures for classification, detection, segmentation Experience with ROS, AWS, OpenCV, and Eigen Graduate degree in relevant field, or equivalent industry experience, is a plus

More info | Contact: Michael Cutter | Posted on: 2019-05-14 12:35:48 UTC

Research Scientist in Machine Perception

Google research | Grenoble, France

We are looking for computer vision and machine learning researchers to develop methods for autonomous learning for next generation AI systems and high-level visual understanding. Research topics include description of people’s actions, cross-modal learning from visual, textual and audio inputs, incremental and few-short learning and reinforcement learning. Applicants should have a PhD degree in computer science or applied mathematics;experience in computer vision, machine learning, deep learning; a strong publication record; programming experience in C/C++, python, tensorflow. Interested candidates should email their CV and the name of three referees.

More info | Contact: Cordelia Schmid | Posted on: 2019-05-13 15:05:54 UTC

Imaging/ computer vision/Machine learning scientist

Onward Assist, Hyderabad | India or remote

We are a seed funded early stage startup working on applying CV/ML algorithms to pathology images. We are looking for research scientists with 3+ years experience in computer vision and machine learning, as well as programming experience in Python (numpy, keras, tf, pytorch, etc), Matlab or R. Medical image processing is a plus, but not required. We need scientists who are independent and can figure out solutions to challenging problems with minimal supervision.

More info | Contact: Vikas Ram | Posted on: 2019-05-13 15:04:45 UTC

Ph.D. in Artificial Intelligence / Deep Learning for Satellite Imaging and Climate Change

Manitoba Learning and Artificial Intelligence Research (MLAIR) lab at the University of Manitoba | Canada

The Manitoba Learning and Artificial Intelligence Research (MLAIR) lab at the University of Manitoba is seeking a Ph.D. student for an interdisciplinary position at the intersection of artificial intelligence, deep learning, and climate change. The student will work on research projects focused on developing innovative computer vision, image analytics, artificial intelligence, and deep learning solutions for localization of critical infrastructure in northern Canada from satellite imaging. Using satellite data captured over multiple decades the student would track the localizations over time to estimate the displacement in structures due to melting permafrost. This information will then be used for predicting the effects of melting permafrost in the future. Organization Description: This is an interdisciplinary position and the research will be conducted jointly between the Manitoba Learning and Artificial Intelligence Research (MLAIR) lab in the Department of Electrical and Computer Engineering and Sustainable Infrastructure and Geotechnical Laboratory (SIGLAB) in the Department of Civil Engineering at The University of Manitoba in Winnipeg (MB), Canada. The student would primarily be admitted to the department of Electrical and Computer Engineering Qualifications: * Masters in Computer Science, Computer Engineering, Electrical Engineering or related fields. * Strong background in computer vision and computational imaging * Facility with PyTorch, Keras, and Tensorflow. * Experience with satellite imaging is a plus. Candidates with no experience in satellite imaging per se, but with excellent background in computer vision are encouraged to apply.

More info | Contact: Ahmed Ashraf | Posted on: 2019-05-12 14:13:46 UTC

Post doctoral fellowship in Deep Learning for Satellite Imaging and Climate Change

Manitoba Learning and Artificial Intelligence Research (MLAIR) | Canada

The Manitoba Learning and Artificial Intelligence Research (MLAIR) lab at the University of Manitoba is seeking a postdocotral fellow for an interdisciplinary position at the intersection of artificial intelligence, deep learning, and climate change. The Postdoctoral Fellow will work on research projects focused on developing innovative computer vision, image analytics, artificial intelligence, and deep learning solutions for localization of critical infrastructure in northern Canada from satellite imaging. Using satellite data captured over multiple decades the student would track the localizations over time to estimate the displacement in structures due to melting permafrost. This information will then be used for predicting the effects of melting permafrost in the future. Organization Description: This is an interdisciplinary position and the research will be conducted jointly between the Manitoba Learning and Artificial Intelligence Research (MLAIR) lab in the Department of Electrical and Computer Engineering and Sustainable Infrastructure and Geotechnical Laboratory (SIGLAB) in the Department of Civil Engineering at The University of Manitoba in Winnipeg (MB), Canada. Qualifications: * PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields. * Strong background in computer vision and computational imaging * Facility with PyTorch, Keras, and Tensorflow. * Experience with satellite imaging is a plus. Candidates with no experience in satellite imaging per se, but with excellent background in computer vision are encouraged to apply.

More info | Contact: Ahmed Ashraf | Posted on: 2019-05-12 14:12:06 UTC

Medical Image Analysis Engineer

Deepwise Healthcare | Beijing, Hangzhou, China

Deepwise Healthcare is an AI company that works on medical image analysis and its applications. The company is located in the Zhongguancun technology hub, Beijing, Shanghai and the AI Town, Hangzhou, China. Our team is composed of PhDs and researchers from top universities and high-tech companies. Our company was founded by one of the co-founders of Baidu, a former VP of Siemens Healthineers (China), the former GM of the location based data and search department in Alibaba Group and a former professor at UIUC who is an IEEE Fellow and ACM Distinguished Scientist. We are looking for candidates who are interested in our company. Job Description: * Cooperate with AI Research Scientists to complete tasks. *Participate in the research and development of medical image/data analysis algorithms.* Responsible for engineering, packaging, optimizing and testing algorithms.* Continuously improve technical skills and academic accomplishments. Publish scientific papers and write patent applications.* Collaborate with hospitals and research institutes in research projects.* Understand user needs and participate in product innovation, development and realization.*Document and summarize technical knowledge, and write necessary documents for product registration.

More info | Contact: Yuhai Gao | Posted on: 2019-05-12 14:09:54 UTC

AI Research Scientist (mid and senior levels)

Deepwise Healthcare | Beijing, Shanghai, Hangzhou, China

Deepwise Healthcare is an AI company that works on medical image analysis and its applications. The company is located in the Zhongguancun technology hub, Beijing, Shanghai and the AI Town, Hangzhou, China. Our team is composed of PhDs and researchers from top universities and high-tech companies. Our company was founded by one of the co-founders of Baidu, a former VP of Siemens Healthineers (China), the former GM of the location based data and search department in Alibaba Group and a former professor at UIUC who is an IEEE Fellow and ACM Distinguished Scientist. We are looking for candidates who are interested in our company. Job Description: *Research and develop analytic algorithms for AI healthcare, including literature review, feasibility study, algorithm prototype development, code realization, and performance optimization, etc.* Dedicated to building and optimizing deep learning models for medical image/data analysis in real-world applications.* Continuously improve technical skills and academic accomplishments. Publish scientific papers and write patent applications.* Collaborate with hospitals and research institutes in research projects.* Understand user needs and participate in product innovation, development and realization.* Document and summarize technical knowledge, and write necessary documents for product registration.* Exchange technical knowledge deeply and extensively within the team, and help recruit and train new team members.

More info | Contact: Yuhai Gao | Posted on: 2019-05-12 14:09:13 UTC

Full-Stack Software Developers

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

Multiple full-stack developer positions are available with the Inception Institute of AI. The Inception Institute of Artificial Intelligence (IIAI) is a national-scale organization of the UAE aiming for breakthroughs in fundamental and applied AI research. Responsibilities: *Developing the back-end of our solutions *Designing, implementation and testing of deep-learning APIs * Work within the development team to build the user-interface & front end deliverable * Participate and conduct in multidisciplinary planning, design, and development of complex, software systems, applications and/or databases, including web applications, layout, and user interfaces Required Skills: * Expert knowledge of JS/ES6 * Strong experience with front-end frameworks like React/Angular/Vue * Familiar with Flask (or similar web frameworks) * Familiar with cloud infrastructure stacks (Google Cloud / AWS or equivalent) * Knowledge of CSS/SASS and HTML markup methodology understanding - BEM * Building component-based applications and component libraries * Front-end code build automation and packaging using Gulp/jspm * Performance tuning, particularly memory and rendering, etc. Additional bonus: * TypeScript/Flow experience * Experience with Vision/Machine Learning/Big Data applications * Experience with modern Deep Learning frameworks (TensorFlow / PyTorch) * Experience with containers (Docker and Kubernetes) What we offer: * Access to a faculty of 100+ leading scientists, academics, researchers and visionaries from the world’s Top Universities, Firms and Research Labs * State of the art NVIDIA GPU computing farm comprising of 100s of DGX machines * Delivering AI solutions for real-world applications of machine learning and computer vision * Strategic partner with the global infrastructure providers * Trusted partner to regional governments in enabling AI capabilities across key domains * Extremely competitive tax-free salary. Please send your CV to waqas.zamir@inceptioniai.org

More info | Contact: Syed Waqas Zamir | Posted on: 2019-05-12 14:01:46 UTC

Research Fellow in Computer Vision and Deep Learning

Centre for Vision, Speech, and Signal Processing, University of Surrey, UK | Guildford (near London UK)

The Centre for Vision, Speech, and Signal Processing is seeking to recruit several full-time postdoctoral researchers to contribute to research projects. 1) The EPSRC project ROSSINI (Reconstructing 3D structure from single images: a perceptual reconstruction approach) will develop deep learning solutions to estimating 3D structure from 2D images and video. This project is in collaboration with partners in Psychology at the Universities of Aston and the University of Southampton. The project seeks to better understand how humans perceive 3D cues in 2D images and how this can factor into computer vision and deep learning approaches. 2) The EPSRC project ExTOL (End to End Translation of British Sign Language) will develop deep learning solutions for human pose estimation, facial feature tracking, and ultimately language translation. This project is in close collaboration with the Visual Geometry Group at the University of Oxford and the Deafness, Cognition and Language Research Centre at UCL. 3) We also have several projects with close industrial collaboration on perception and decision making for autonomous vehicles. This work builds on the Surrey autonomous testbed so there are further opportunities to contribute to this work and deploy your code on a real autonomous vehicle. You will join an established research group (165 researchers) within a highly rated research department, with an excellent computing and software infrastructure (GPU compute) for first class research, modern facilities and close links with industry. Applicants should have (or be in the final stages of completing) a PhD in a related area with a track record of publishing high quality research at conferences such as CVPR, ICCV, ECCV or BMVC. You should have good analytical and programming skills and experience of computer vision and machine/deep learning. Prior experience of deep learning in either pyTorch or TensorFlow is essential, ROS expertise would be beneficial. Applicants are expected to be proactive, to support other researchers and to be self-motivated. Informal enquiries related to the project to Professor Richard Bowden by e-mail: r.bowden@surrey.ac.uk.

More info | Contact: Richard Bowden | Posted on: 2019-05-12 14:00:37 UTC

SENIOR DATA SCIENTIST- COMPUTER VISION

CCC Information Services Inc. |

CCC information Services, Inc. is seeking a Computer Vision Data Scientist to develop computer vision & deep learning models as part of the Data Science team. The Data Science team at CCC is currently working on the most important strategic initiatives of the company. The Computer Vision Data Scientist will contribute to a photo analytics project with the goal of developing a predictive solution for auto collision damage appraisal. We are seeking a candidate who will bolster existing capabilities and suggest new, exciting changes and improvements. Job Description * Lead implementation and scaling of vision and estimation algorithms * Apply supervised and unsupervised deep learning models to images and videos * Work with other vision scientists and engineers to deliver deployable technology while seeking creative ways to streamline processing and workload Qualifications: *Must have a Ph.D. in Computer Vision or related engineering field (Electronics Engineering, Computer Science, Computer Engineering, Applied Math, etc.) *Must have thesis research experience in learning algorithms for computer vision: deep learning for object and motion detection, image classification and segmentation, etc. *Proficient in Tensorflow and/or PyTorch *Advanced mathematical modeling skills *Experience with the Python data science stack: numpy, scikit-learn, pandas, matplotlib *Comfortable with OpenCV and other computer vision libraries *Knowledge of Linux systems (Ubuntu, CentOS) *Expert in algorithm design, creative problem solving, and performance optimization *Knowledgeable in computational geometry, linear algebra, and statistics *Exceptional problem solver and communicator *Effective documentation practices and experience writing reports Preferred Qualifications * The ideal candidate will have 2+ years of practical experience in deep learning in computer vision * Parallel computing and analytics skills * Familiarity with software design and scalable software architectures * Knowledge of 3D computer vision and video analytics algorithms

More info | Contact: Radha Sharma | Posted on: 2019-05-08 15:58:29 UTC

Senior Research Scientist

eBay Inc. | San Jose, CA

With hundreds of millions of buyers and sellers, 1B+ of live listings at any point of time, millions of daily transactions and billions of daily queries, eBay provides an amazing playground for researchers to work with data and conduct experiments at scale. We actively pursue ideas that result in scalable algorithms and systems, while leveraging the scale of data. The Computer Vision team at eBay Core AI is seeking highly qualified candidates for full-time Senior Research Scientist position in our beautiful San Jose office. We are seeking highly qualified computer vision research scientists to work on problems such as Large Scale Visual Search/Detection/Recognition, Fine Grained Classification, Deep Learning, Attribute Discovery and Localization, Weakly Supervised Learning, Semantic Segmentation and OCR.

More info | Contact: Robinson Piramuthu | Posted on: 2019-05-08 15:50:20 UTC

R&D Engineer in Biomedical Image Analysis and Machine Learning Algorithm Development

Kitware | Carrboro, NC

Kitware, Inc. is actively seeking highly skilled researchers to develop image analysis and machine learning algorithms using open source libraries such as ITK, 3D Slicer and scikit toolkits. Kitware collaborates on basic and applied research and development projects that span all forms of medical image analysis and visualization. Our collaborators include the top universities from around the world, national research labs, medical device manufacturers, and many others. Our efforts build upon our extensive software libraries as well as our expertise in a variety of synergistic disciplines including machine learning, pattern recognition, medical image analysis, visualization, informatics, and computer vision. If you join our team, you will collaborate with world-class coworkers and external researchers on these and other projects in the following ways: Develop advanced image analysis and machine learning algorithms and integrated systems for a wide variety of mission critical applications in medicine and biology. *Extend the capabilities of VTK, ITK and 3D Slicer to meet the needs of academic and commercial users as they investigate new medical procedures and imaging systems, release innovative products, and improve all aspects of patient care. *Deploy software applications and infrastructure that are used by people, every day, around the globe, to improve the world.

More info | Contact: John Westbrook | Posted on: 2019-05-08 15:49:06 UTC

Full-Stack Software developer in AI EPFL Startup

Neural Concept | EPFL, Lausanne, Switzerland

Our company Neural Concept uses Deep Learning algorithms to transform the world of Computer Assisted Design (CAD). We help companies speed up their R&D cycles, enhance their product performance and reduce computational costs. Deep Learning and AI have already revolutionised how images, sound and natural language are processed. Therefore, some problems that used to be considered intractable are now easily solvable on a large scale. Yet, Computer Assisted Design (CAD) and geometry processing are still using traditional methods. Our mission is to bring this revolution into the world of CAD using our unique Neural Network technology that can process 3D CAD models. We are working for global leaders in industries ranging from Automotive to Aerospace and with cutting edge sport teams from Sailing to Car-Racing, who trust our technology to ensure they stay ahead of the curve in their fields. Your mission As a Software Engineer, your main responsibilities will include: Developing the backend of our product, including design, implementation and testing of Neural Concept’s APIs Working together with Research Scientists to design and implement efficient algorithms and data structures in the core engine of our product Closely collaborating with Application Engineers to design and implement novel features required by our clients and partners Continuously working on improving stability and reliability of our products and tools Your profile Requirements: MSc or PhD degree (Computer Science / Math / Physics or other relevant field) Strong background in algorithms and data structures Strong programming experience in Python and / or C++ Familiar with Flask (or similar web frameworks) Familiar with cloud infrastructure stacks (Google Cloud / AWS or equivalent) Familiar with modern database and storage solutions (SQL and NoSQL) Would be a plus: Experience with containers (Docker and Kubernetes) Experience with Machine Learning * Experience with modern Deep Learning frameworks (TensorFlow / PyTorch) Experience with GPU programming (ideally CUDA) Experience with CFD methods and simulation software (such as OpenFOAM) You get A competitive Swiss salary A generous equity compensation plan Flexible working hours Access to unlimited computational resources State-of-the-art equipment Stimulating environment with top-level researchers and engineers Comfortable office with open beverages and healthy food

More info | Contact: Thomas von Tschammer | Posted on: 2019-05-08 15:47:07 UTC

PhD Position in Reliable Deep Learning

University of Edinburgh | Edinburgh, UK

Deep Learning methods for perception are highly effective for many tasks. However, in practice, it is unavoidable to encounter scenarios where the assumptions are violated: data may have different statistics during training and deployment, data may change over time, may contain noise, or there could even be adversarial attacks. We are interested in investigating and guaranteeing deep networks’ performance in these kind of situations. Potential approaches could include meta-learning for robustness to domain-shift and adaptation to domain shift, or theoretical analysis of neural network robustness to adversarial attack. The application domain will focus on video understanding. This position would be co-advised by Laura Sevilla (laura.sevilla.lara@gmail.com) and Timothy Hospedales (t.hospedales@ed.ac.uk). Eligibility: EU/UK residents. Start Date: September 2019 or ASAP thereafter.

More info | Contact: Laura Sevilla | Posted on: 2019-05-08 08:02:47 UTC

Machine Learning Engineer

Nomoko AG | Zurich, Switzerland

Nomoko is looking for a full-time Machine Learning Engineer with practical experience in computer vision and deep learning. Our new team member should have the motivation and passion for large-scale machine learning problems for designing and implementing 2D / 3D scene understanding, localization and perception algorithms. Requirements: MSc or PhD in Computer Science or related fields with a focus on Machine Learning and Computer Vision Working experience in 3D Computer Vision Good understanding and hands-on experience with the state-of-art deep learning algorithms, such as Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks Strong programming skills in Python and practical experience with one of its mainstream deep learning frameworks (TensorFlow, PyTorch, Keras) Excellent communication skills, oral and written in English - our working language is English. Ability to design and execute on research and deployment agendas Good to have: Experience in few-shot learning and fine-grained classification Expertise in probabilistic modelling and sensor fusion Expertise in reinforcement learning Strong programming skills with C/C++

More info | Contact: Gulcan Can | Posted on: 2019-05-08 08:01:28 UTC

Research Engineers / Research Associates for Medical Imaging and Healthcare

Inception Institute of Artificial Intelligence (IIAI) | Abu Dhabi, UAE

IIAI is the UAE’s national research organization, which aims for breakthroughs in fundamental and applied AI research. We are now looking for research engineers / research associates mainly targeting at projects for medical imaging and healthcare. You will be fully dedicated to applying cutting-edge machine learning and computer vision techniques to revolutionize the healthcare industry through medical image computation and analysis. This involves developing computer-aided diagnosis systems and healthcare platform projects. All these applications require the manipulation and integration of medical image information. MS or PhD Degree in computer science or related discipline. 3+ years’ experience in computer vision, machine learning, and/or image processing, and/or natural image processing (working experience in medical imaging is a plus). Publication records of top-ranked conferences/journals, such as TPAMI, CVPR, ICCV, ECCV, and MICCAI. Experience with Python/C++ and deep learning frameworks (PyTorch/Tensorflow/Keras/Caffe). Highly competitive salary is provided.

More info | Contact: Yi Zhou | Posted on: 2019-05-07 14:00:47 UTC

Computer vision research engineer

Suspect Technologies Inc | Hyderabad, India

Suspect Technologies is on a mission to assist law-enforcement agencies by accelerating their ability to protect community using our video analytics. We are looking for passionate computer vision engineers to tackle some of the challenges in object detection, recognition domain. You will be responsible for research and development of algorithms. Requirements: Strong programming experience with C++ and Python. Hands on experience with PyTorch, TensorFlow, MXNet frameworks. Good understanding of computer vision algorithms.

More info | Contact: Srikanth | Posted on: 2019-05-07 13:57:02 UTC

Open PhD Position in Incremental Learning for Classification of Objects of Interest

LabSTICC (ENSTA Bretagne and IMT Atlantique, Brest, France), Naval Group and Flinders University, Australia | Brest, France & Adelaide, Australia

A PhD position is available in the domain of incremental learning for object of interest classification in the context of a trilateral collaboration between LabSTICC (ENSTA Bretagne and IMT Atlantique), Naval Group and Flinders University in Adelaide, Australia. The 3-year doctoral scholarship is funded under the CIFRE program and aims to advance the state-of-the-art in incremental learning for classification of objects of interest from imagery acquired by aerial, underwater or terrestrial drones/robots. Interested applicants should consult the provided link which provides full details with respect to the subject and application procedure.

More info | Contact: Benoit Clement | Posted on: 2019-05-07 13:55:21 UTC

Senior Research Scientist / CV R&D intern

Suspect Technologies Inc | Cambridge, MA, USA

Suspect Technologies is on a mission to assist law-enforcement agencies by accelerating their ability to protect community using our video analytics. We are looking for passionate researchers and engineers to tackle some of the challenges in object detection, recognition domain. You will be responsible for research and development of algorithms. Requirements: Strong understanding of Computer Vision and Machine learning techniques. Hands on experience with PyTorch, TensorFlow, MXNet frameworks. Independent thinker and able to come up with new ideas.

More info | Contact: Srikanth | Posted on: 2019-05-07 13:20:41 UTC

Research Scientist - Mixed Reality

microsoft | Zürich, Zürich, Switzerland

In Mixed Reality, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse ground-breaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented scientists and engineers putting technology on a human path across all Windows devices, including Microsoft HoloLens, Kinect for Azure, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! The new Microsoft lab in Zurich is located near ETH Zurich, the top technical school in continental Europe, enabling close collaboration in multiple areas. The city of Zurich, Switzerland, is centrally located in Europe and consistently ranks among the top cities in the world for quality of life. The Microsoft Mixed Reality & AI lab in Zurich, Switzerland, is a new research team building the future of mixed reality. We are passionate about using computer vision to map and understand the environment, recognize and track relevant objects, and assist the user in performing the task at hand. The team aims at building up a diverse expertise across computer vision, graphics, machine learning, robotics, interaction, and software engineering. We are looking for talented computer vision and machine learning researchers and software engineers: people who love to invent and build new stuff that really works and can be deployed to millions of users. Responsibilities Computer Vision – Contribute with your expert knowledge in one of the following domains: Develop advanced solutions for geometric computer vision problems (i.e.., structure-from-motion, visual-inertial localization, SLAM, multi-view stereo, etc.) by fusing visual and inertial information from multiple cameras, IMUs, and other sensors. Develop advanced solutions for computer vision problems with a focus on action recognition, human body and hand pose estimation, hand-object interaction understanding, on both egocentric and third-person scenarios. Optimization and Machine Learning – Develop machine learning (esp. deep learning) and optimization algorithms to complement or replace traditional computer vision algorithms. Research and Engineering – Investigate challenging unsolved problems and design novel solutions by rapidly prototyping and evaluating the ideas using data/test driven analysis. Develop the prototypes into real products using strong software engineering skills. Academic Collaborations – Leverage the close collaboration with ETH Zurich and other excellent academic partners for exploratory research with the opportunity to publish at top conferences or journals. Consultation – Provide expert advice in your area of expertise across the organization. Qualifications Must be passionate about incubating new ideas, solving problems, and building working systems Excellent oral and written communication skills Should hold a PhD or similar degree in computer vision, machine learning or robotics or have suitable alternate expertise and experience. Ideally, the candidate has a strong publication record with research results published at top-tier conferences and journals (CVPR, ECCV, ICCV, ICRA, IROS, TPAMI, NeurIPS, ICLR, etc.) Must be strong programmers with software engineering experience and good debugging skills. Experience in the following would be advantageous: C++ (esp. C++11 and newer), C, Python, C# GPU programming (esp. CUDA) High- and low-level code optimization Should have hands-on experience working on at least one of: 3D computer vision Machine learning, esp. deep learning Probability and statistics Numerical algorithms, e.g., non-linear optimization Robotics and control systems Novel sensing hardware Should have strong mathematical skills Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-05-04 14:10:38 UTC

Senior Computer Vision Developer for Autonomous Driving Systems

Zenuity, Gothenburg | Sweden

You will be part of an innovative, open environment with a cross functional team, managing all aspects required to add value to the product, from requirement analysis, concept development, to implement and testing. As a person you are enthusiastic, thrive in an agile, collaborative environment, love to share your knowledge and experience with the team. Deep knowledge of computer vision-based technology for mobile vision systems Demonstrated experience developing vision-based algorithms like object detection and segmentation, feature extraction, visual object tracking, stereo generation, and structure from motion/3D reconstruction Experience in Deep Learning algorithms Strong background in applied mathematics, applied physics, signal processing and image processing. Strong C/C++ programming, Linux OS GPU Programming, Computer Graphics and Embedded Software Development Ph.D. or M.Sc. related to one of the following fields: Machine Learning, Computer Vision, Robotics, Engineering or Science.

More info | Contact: Ognjan Hedberg | Posted on: 2019-05-04 14:06:28 UTC

Computer Vision Scientist

Orbital Insight | Palo Alto, CA

Orbital Insight’s is on a mission to understand what is happening to and on Earth, including all of the economic and social trends impacting us. To do that we are building the best computer vision team in the world for large scale automated analysis of satellite and aerial imagery. To support this work we need creative and expert engineers who are not afraid of taking on computer vision problems that have never been tried before. They must be familiar with a broad range of techniques and able to research and utilize the best methods to complete the task. We also need them to never stop improving both the coverage and accuracy of the objects and kinds of land use that we can recognize. MS or higher in computer science or related discipline.2+ years of industry experience in software engineering.

More info | Contact: Phinni Benjaminson | Posted on: 2019-05-04 14:05:11 UTC

Lead Computer Vision Scientist

Orbital Insight | Palo Alto, CA

Orbital Insight’s is on a mission to understand what is happening to and on Earth, including all of the economic and social trends impacting us. To do that we are building the best computer vision team in the world for large scale automated analysis of satellite and aerial imagery. To support this work we need creative and expert engineers who are not afraid of taking on computer vision problems that have never been tried before. They must be familiar with a broad range of techniques and able to research and utilize the best methods to complete the task. We also need them to never stop improving both the coverage and accuracy of the objects and kinds of land use that we can recognize. MS or PhD Degree in computer science or related discipline (PhD preferred). 4+ years experience in computer vision, machine learning, and/or image processing (industry experience is a plus)

More info | Contact: Phinni Benjaminson | Posted on: 2019-05-04 14:04:24 UTC

Junior/Senior/Principal Machine Vision R&D Engineer

Koh Young Technology | San Diego

Koh Young Technology is a world leader in 3D vision technology used in micro-electronics assemblies industry, with dominant market position. Using patented 3D measurement & inspection technology, Koh Young provide best-in-class intelligent inspection solutions for 2000+ electronics manufacturers worldwide, from offices in multiple locations in the United States, Germany, Japan, China, Singapore, Vietnam and Korea(Headquarters). Koh Young is seeking self-motivated and experienced Machine Vision R&D engineers for its San Diego R&D Center to solve the most challenging vision problems leading electronics/semiconductor manufacturers are confronted with. REQUIREMENTS : Masters or PhD degree with 5+yrs experience in Machine Vision/Computer Vision, with solid understanding and skills to apply various vision algorithms and knowledge in advanced image processing, 2D/3D image recognition/segmentation/reconstruction. Experience in deep learning is a definite plus.

More info | Contact: Uinam Choi | Posted on: 2019-05-04 14:01:30 UTC

Junior/Senior/Principal CV/ML/DL R&D Engineer

Koh Young Research America | San Diego

Koh Young Research America in San Diego is seeking passionate MS/PhD graduates to research and develop scalable computer vision, machine learning and deep learning solutions to solve hard problems in electronics and healthcare industries. You will be investigating exciting challenges in image recognition/classification, object detection/tracking, 3D scan and deep learning. REQUIREMENTS : • Masters or PhD degree in Computer Vision/Machine Learning with relevant experience. • Strong understanding of Machine learning and Computer vision algorithms and applications • Solid foundation in computer vision; key areas of interest include object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; activity recognition. • Expert in algorithm modifications and optimizations for efficient processing including fixed point conversion, exploiting parallelism, balancing data transfer and computation. • Expert in use of Machine learning and computer vision frameworks and libraries.

More info | Contact: Uinam Choi | Posted on: 2019-05-04 14:00:01 UTC

Deep Learning Engineer

Zenuity | Sweden

Zenuity is looking for Deep Learning Engineers with a creative, analytical mindset and solid software development skills. Applicants should have a keen interest in Computer Vision / Robotics and Intelligent Mobility and be motivated by the collaborative effort required to solve a problem of this complexity, where you will actively work on some of these tasks: developing vehicle data collection systems, automating and refining the data annotation process, designing, training and evaluating deep neural networks that will process data from multiple sensor modalities including cameras, LiDARs and radars, optimizing and streamlining the use of our computational (GPU) resources, improving the continuous integration and deployment toolchains, all the way to embedded software in the vehicles, etc. You will be part of an innovative, open environment with a large emphasis on communication, where you have the opportunity to affect the evolution of our products and the way we work. Based on your competences and interests you will have the possibility to shape your own role and develop professionally. Essential experience: Ph.D. or M.Sc. in a related field such as: Machine Learning, Computer Vision, Robotics. Several years of hands-on experience with programming in Python or C++. Knowledge of, or experience in, Deep / Machine Learning algorithms, a proven ability to deliver strong results, either from academia or industry.

More info | Contact: Camilla Apoy | Posted on: 2019-05-04 13:46:09 UTC

Senior Computer Vision Engineer

Loko AI, Inc. | Palo Alto & Los Angeles

Loko AI is pioneering Human Behavior Recognition using Artificial Intelligence and Computer Vision. We are searching for a Senior Computer Vision Engineer to contribute in developing the next generation of our vision-based AI-powered human behavior analysis pipeline. The Senior Computer Vision Engineer designs and implements novel deep learning methods (including generative models and motion-aware video analysis techniques) for recognition and prediction of human behavior. For the right candidate, this is a fantastic opportunity to start as a core team member of a fast-growing, well-funded startup that is pioneering human behavior recognition. Minimum Qualifications: 1) Strong knowledge of Python and deep learning platforms (e.g., PyTorch and Tensorflow). 2) Demonstrated experience with architecting and developing deep neural networks. 3) In-depth understanding of fundamental computer vision algorithms and technologies. 4) 2-3+ years industry work experience. 5) Experience working with minimum supervision and leading multiple projects simultaneously involving various groups/locations & vendors.

More info | Contact: Karen (Senior Recruiter) | Posted on: 2019-05-04 13:44:32 UTC

Computer Vision Engineer

Loko AI, Inc. | Palo Alto & Los Angeles

Loko AI is pioneering Human Behavior Recognition using Artificial Intelligence and Computer Vision. We are searching for a Computer Vision Engineer to contribute in developing the next generation of our vision-based AI-powered human behavior analysis pipeline. The Computer Vision Engineer designs and implements novel deep learning methods (including generative models and motion-aware video analysis techniques) for recognition and prediction of human behavior. For the right candidate, this is a fantastic opportunity to start as a core team member of a fast-growing, well-funded startup that is pioneering human behavior recognition. Minimum Qualifications: 1) Strong knowledge of Python and deep learning platforms (e.g., PyTorch and Tensorflow). 2) Demonstrated experience with architecting and developing deep neural networks. 3) In-depth understanding of fundamental computer vision algorithms and technologies. 4) 1+ years industry work experience. 5) Experience working with minimum supervision and leading multiple projects simultaneously involving various groups/locations & vendors.

More info | Contact: Karen (Senior Recruiter) | Posted on: 2019-05-04 13:42:58 UTC

Machine Learning and Computer Vision Scientist

zippin (www.getzippin.com) San Francisco Bay Area |

Zippin is an artificial intelligence company that provides next generation of checkout-free technology to every retailer. Our mission is to use machine learning, computer vision and sensor fusion technology to banish checkout lines and self-scanners for good, so shoppers can zip in and out with their purchases. We are well-funded from reputable investors in the valley and are in the midst of deploying our solution in few exciting markets. We are very close to securing a series A funding round. We are looking for Computer Vision/Machine Learning Engineers with experience in Object Recognition, Detection, Tracking & Embedded Vision/Biometrics to help scale our solution to large clients.

More info | Contact: Motilal Agrawal (Co-founder & Chief Scientist) | Posted on: 2019-05-04 13:41:50 UTC

PhD Student Position

University of Edinburgh | Edinburgh, UK

Description of the job: We are looking for passionate and outstanding students to pursue a PhD in computer vision and deep learning at the University of Edinburgh. The goal of the PhD is to deepen the joint understanding of video and language. Possible topics may include, but are not limited to, understanding high level behavioral tasks such as action recognition in relation to language understanding, designing novel core architectures for temporal modeling, video description, language based video retrieval, as well as exploring novel tasks in video and language learning. A potential opportunity will be to collaborate with Marcus Rohrbach (http://rohrbach.vision/) who is an expert in Vision and Language research at Facebook AI Research. The expected period of study is 3.5 years. The successful candidate would be part of the School of Informatics, which includes access to world class equipment in computing and robotics, and one of the largest research communities in Europe with more than 100 faculty and over 400 graduate students. The desired qualifications include master's degree in computer science or related subjects, previous experience in deep learning and strong programming skills (C++/python, pyTorch/TensorFlow). Basic understanding of current methods is preferred (optical flow, video classification approaches, recurrent networks, reinforcement learning).

More info | Contact: Laura Sevilla | Posted on: 2019-05-04 13:40:24 UTC

Senior Software Engineer - Computer Vision

Kitware, Inc | Clifton Park, NY

Kitware is currently hiring a Senior Software Engineer to join our Computer Vision team. If you are interested in working on cutting edge, real world problems in a setting that is a cross section between academia and industry, then this is a great opportunity for you. By joining our team, you will be contributing your C++ expertise in the areas of computer vision or machine learning to develop robust solutions for real-world problems. Our projects focus on areas such as 3D reconstruction, object detection, image manipulation detection, and motion pattern learning and anomaly detection. Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Software Engineers at Kitware also have the opportunity to publish and maintain open source software packages. Due to contractual restrictions, only candidates that are US Persons (citizens, permanent residents, asylees or refugees) will be considered for this position.

More info | Contact: John Westbrook | Posted on: 2019-05-04 13:39:14 UTC

Machine learning and computer vision scientist

Meero | Paris, FRANCE

As a first-class Senior researcher in the R&D team, you will take a prominent part in researching the fundamental science and algorithms that contribute to the research agenda and core portfolio of Meero. You will drive the execution of that agenda in pushing the boundaries of the worldwide state-of-the-art of the Computer Vision / Deep Learning community and disseminating this work on top-tier international conferences as well as contributing to explore business applications relevant to the company.

More info | Contact: Léo Morillon | Posted on: 2019-04-30 07:49:27 UTC

Intern

Salesforce Research Asia | Singapore

Salesforce Research Asia is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields: - deep learning - machine learning - natural language processing - computer vision - speech recognition - reinforcement learning Applied to, for example: text categorization, text summarization, information extraction, question answering, dialogue systems, language and speech, machine translation, language and vision, image classification, object detection, or image semantic segmentation, etc. Candidates that have published in top-tier conferences or journals are preferred. As a research intern, you will work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference.

More info | Contact: Steven Hoi | Posted on: 2019-04-30 07:48:07 UTC

Research Scientist

Salesforce Research Asia | Singapore

Salesforce Research Asia is looking for outstanding entry level research scientists. As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI. o Work on cutting-edge research in AI and computer vision. o Find and build ambitious, long-term research goals. o Develop innovative solutions for real-world, large-scale problems. o As needed, mentor interns and supervise postgraduate students. o As needed, contributions on more complex pure and applied research projects.

More info | Contact: Steven Hoi | Posted on: 2019-04-30 07:47:46 UTC

Senior/Lead Research Scientist

Salesforce Research Asia | Singapore

Salesforce Research Asia is looking for extraordinary research scientists to be based in Singapore. As a research scientist, you discover new research problems, develop novel models, design careful experiments and generally advance the state of the art in AI. o Work on cutting-edge research in AI and computer vision. o Find and build ambitious, long-term research goals. o Develop innovative solutions for real-world, large scale problems. o Lead teams to deliver on more complex pure and applied research projects. o Advise junior research scientists, mentor interns and supervise postgraduate students.

More info | Contact: Steven Hoi | Posted on: 2019-04-30 07:47:29 UTC

Simulation Engineer

DeepMap, Inc. | Palo Alto, CA and Beijing, CN

DeepMap is a start-up providing HD mapping and localization as a service to autonomous vehicle fleets. Our team is made up of the highest caliber engineers from some the most prominent universities and software companies in the world. Additionally, we have received backing from top-tier VCs and investors. We are looking for Simulation engineers with experience in developing 3D engine for autonomous vehicle simulation and a strong passion on the self-driving car industry, maps, machine learning and big data. If you are an independent problem solver, have a strong drive to excel, and are looking for opportunities to make a big impact, this is the right place for you. Primary Responsibility Developing 3D engine for autonomous vehicle simulation. Work in passion and meet urgent deadlines. Minimal Requirement Solid background in Compute Graphics, familiar with graphics rendering pipeline. Solid graphics related math background, such as Linear Algebra and Numeric Analysis. Several years of graphics programming experience. Several years of OpenGL/GLSL experience, or experiences of using game engines (Unreal or Unity) Be able to write clean, maintainable code. Desired Requirements Related knowledge/work experience in self driving car business. Past experiences in autonomous driving simulation is a plus. Self motivated, collaborative and problem solving skills.

More info | Contact: Drew Fong | Posted on: 2019-04-30 07:43:17 UTC

Senior Computer Vision Software Engineer

DeepMap, Inc. | Palo Alto, CA

We are looking to grow our team with talented computer vision engineers who are passionate about the self-driving car industry, maps, machine learning, and big data. If you are an independent problem solver, have a strong drive to excel, and are looking for opportunities to make a big impact, this is the right place for you. Requirements Proven working experience designing algorithms and methods for 3D object classification algorithms using point cloud and/or image data Proven experience benchmarking algorithms based on speed, accuracy, and robustness Proven experience implementing efficient data structures to enable faster image processing MS degree or more in Computer Science or related field preferred Proficient in one or more the following languages: Java, C/C++, Javascript 3+ years of working experience We are seeking candidates for a variety of focus areas for our Computer Vision SWE roles, so experience in one or more of these areas is highly desirable: Deep Learning and Object Detection: experience using Deep Learning techniques for object detection in images. SLAM/Localization: experience using images and point clouds for Simultaneous Mapping and Localization and similar problems. Sensor Fusion and Calibration: experience in computing sensor parameters and relationships to fuse data from multiple sensors. 2D/3D data processing and analysis: experience working with large 2D and 3D data to extract entities and estimate properties. At DeepMap, we cherish and celebrate every individual's difference. We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status. DeepMap will provide reasonable accommodation to employees who have protected disabilities consistent with local law. We will also consider qualified candidates regardless of criminal histories consistent with legal requirements. If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

More info | Contact: Drew Fong | Posted on: 2019-04-30 07:42:25 UTC

Deep Learning Software Engineer

DeepMap, Inc. | Palo Alto, CA

We are looking for software engineers with talents in computer vision and a strong passion on the self-driving car industry, maps, machine learning and big data. If you are an independent problem solver, have a strong drive to excel, and are looking for opportunities to make a big impact, this is the right place for you. Responsibilities Develop Deep Learning components for both training and inference stages. Develop tools to generate and manage big training datasets for different Deep Learning models. Develop and train Deep Learning models for image and/or point cloud data. Develop computer vision algorithms for Deep Learning data preprocessing and postprocessing. Integrate Deep Learning algorithms into realistic large-scale map making pipelines. Requirements Master's or PhD in Computer Science or related technical field. Solid background in Computer Vision, Machine Learning, and Deep Learning. Proficient in C++. Familiar with at least one of the following Deep Learning libraries: TensorFlow, Caffe, Caffe2, MXNet, Torch. Experience with CUDA is a plus. At DeepMap, we cherish and celebrate every individual's difference. We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status. DeepMap will provide reasonable accommodation to employees who have protected disabilities consistent with local law. We will also consider qualified candidates regardless of criminal histories consistent with legal requirements. If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

More info | Contact: Drew Fong | Posted on: 2019-04-30 07:41:38 UTC

Computer Vision Software Engineer

DeepMap, Inc. | Palo Alto, CA and Beijing, CN

We are looking to grow our team with talented computer vision engineers who are passionate about the self-driving car industry, maps, machine learning and big data. If you are an independent problem solver, have a strong drive to excel, and are looking for opportunities to make a big impact, this is the right place for you. Requirements: Design algorithms and methods for 3D object classification algorithms using point cloud and/or image data Benchmark algorithms based on speed, accuracy and robustness Implement efficient data structures to enable faster image processing. Experience with OpenCV, PCL and general point cloud processing a plus BS degree in Computer Science or related field 0-2 years of working experience We are seeking candidates for a variety of focus areas for our Computer Vision SWE roles, so experience in one or more of these areas is highly desirable: Deep Learning and Object Detection: experience using Deep Learning techniques for object detection in images. SLAM/Localization: experience using images and point clouds for Simultaneous Mapping and Localization and similar problems. Sensor Fusion and Calibration: experience in computing sensor parameters and relationships to fuse data from multiple sensors. 2D/3D data processing and analysis: experience working with large 2D and 3D data to extract entities and estimate properties. Desired Experience Proven experience in designing algorithms for 3D object classification using point cloud and/or image data Proven experience in benchmarking algorithms based on speed, accuracy and robustness Proven experience in implementing efficient data structures to enable faster data processing. MS degree or higher in Computer Science or related field preferred Proficient in C++/C is a must. Should also be familiar with Java and Javascript 3+ years of working experience At DeepMap, we cherish and celebrate every individual's difference. We are proud to be an equal opportunity employer and we are committed to equal employment opportunity regardless of race, color, religion, national origin, sex, sexual orientation, age, marital status, gender identity, veteran status, and disability, or another legally protected status. DeepMap will provide reasonable accommodation to employees who have protected disabilities consistent with local law. We will also consider qualified candidates regardless of criminal histories consistent with legal requirements. If you are unable to submit an application because of incompatible assistive technology or a disability, please let us know and we will make every effort to respond to your request for assistance as soon as possible.

More info | Contact: Drew Fong | Posted on: 2019-04-30 07:40:54 UTC

Post-doctoral Fellowship in Medical Image Processing – Machine Learning & Computer-Aided Diagnosis

National Institutes of Health Clinical Center, | Bethesda, Maryland, USA

A post-doctoral fellowship is available for 2D/2.5D/3D/4D radiology image processing in Bethesda, Maryland, USA. Specific interest areas are deep learning, image segmentation, modeling, visualization, pattern recognition, computer-aided diagnosis, multi-organ models, atlases and registration. In particular, advanced skills in image processing (computer vision, mathematical modeling, optimization, machine learning) are sought. The researcher will work closely with staff scientists, imaging specialists and clinicians and have access to state-of-the-art whole body MRI, MRI-PET, low-dose CT scanners, advanced graphics workstations and parallel processing/GPU clusters. Basic Qualifications: Ph.D. in Computer Science, Electrical Engineering, or related discipline with experience in Computer Vision, Machine Learning, or Image Understanding domain, along with successful demonstration of key responsibilities. Desirable Qualifications: Strong theoretical and practical background in computer vision, image and video analysis, such as object detection and recognition, statistical pattern recognition, machine learning, sparse methods and applied optimization. Prior knowledge about medical imaging is a plus but not a must. Enthusiasm in solving real world clinical imaging problems using large datasets, and hands-on coding skills and ability in C++ and Matlab. This appointment is for one year and is renewable thereafter on a periodic basis (up to five years). Applications should include a CV, brief statement of research interests and three letters of reference. DHHS and NIH are Equal Opportunity Employers.

More info | Contact: Dr. Ronald Summers | Posted on: 2019-04-30 07:37:18 UTC

Visualization Engineer

QCraft, Inc | Mountain View, CA and Beijing

Degree in CS, EE or related disciplines;Excellent C/C++ programming skills and dedication to high-quality code; Solid grasp on Qt or similar GUI frameworks; Solid grasp on OpenGL or similar 3D graphics frameworks; Strong mathematical skills in 3D geometry and linear algebra; Strong communication skills and teamwork mindset.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:17:40 UTC

Simulation Engineer

QCraft, Inc | Mountain View, CA and Beijing

Degree in CS or related disciplines; Excellent C/C++ programming skills and dedication to high-quality code; Familiarity with the overall architecture of the autonomous driving technology stack and ability to work across teams to support evolving testing needs; Deep understanding of concepts and techniques in distributed computing and high-performance computing; Experience with modeling driver/pedestrian behavior or video game development is a plus; Strong communication skills and teamwork mindset.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:17:31 UTC

Senior Mapping and Localization Engineer

QCraft, Inc | Mountain View, CA and Beijing

Advanced degree specializing in robotic localization, SLAM, motion planning or related fields; Excellent C/C++ programming skills; Familiarity with common techniques in structuring large-scale map data; Solid understanding of algorithms for efficient and accurate representation of map elements, such as B-splines, clothoids/spiro curves, and occupancy grid; Familiarity with basic motion planning concepts, and ability to work across teams to support evolving mapping needs. Strong communication skills and teamwork mindset.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:17:19 UTC

Senior Motion Planning Engineer

QCraft, Inc | Mountain View, CA and Beijing

Deep understanding of modern motion planning techniques, such as sampling based planning and numerical optimization; Advanced degree specializing in robotic motion planning or related fields; Excellent C/C++ programming skills; Strong applied mathematical skills in dynamical systems, kinematics, differential geometry, computational geometry, calculus of variations, or related fields; Strong communication skills and teamwork mindset; Experience in the autonomous driving industry is a plus.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:16:00 UTC

Senior Robotics Engineer

QCraft, Inc | Mountain View, CA and Beijing

Advanced degree specializing in computer graphics, robotics, or related fields; Excellent programming skill in C/C++; Strong mathematical skills in 3D computational geometry. Familiarity with common object tracking and sensor fusion algorithms; Strong communication skills and teamwork mindset.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:15:46 UTC

Senior Camera System Engineer

QCraft, Inc | Mountain View, CA and Beijing

Developing outstanding imaging systems of high resolution, high sensitivity, and low latency; Degree in computer science, electrical engineering, or related fields; Understanding of early stage of image processing, including raw image processing, auto exposure and white balance, tone mapping, color correction, noise reduction, etc.;Understanding of digital imaging concepts like metering, exposure, focal length, aperture, shutter speed and gain; Experience in image processing with GPU/FPGA is a plus; Experience in optics and imaging system design is a plus

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:15:33 UTC

Senior Computer Vision Engineer

QCraft, Inc | Mountain View, CA and Beijing

Hands-on experience in one of the following areas: object detection, semantic/instance segmentation, motion/depth estimation, optical flow, object tracking and action recognition; Advanced degree or equivalent experience in machine learning, computer vision and robotics; Excellent programming skills in C/C++ or Python; Strong mathematics and analytical skills; Strong communication skills and teamwork mindset.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:15:20 UTC

Senior Machine Learning Engineer

QCraft, Inc | Mountain View, CA and Beijing

Advanced degree specializing in machine learning, computer vision, robotics or related fields; Excellent programming skills in C/C++ or Python; Outstanding expertise and experience in some or many of the following areas: computer vision, machine learning, robotics; Track record of research excellence or significant product development; Mastery of at least one machine learning framework such as Tensorflow, Pytorch; Passion for solving challenging research problem and willingness to convert research work into products; Strong communication skills and teamwork mindset.

More info | Contact: Mindy (senior recruiter ) | Posted on: 2019-04-30 07:10:38 UTC

Computer Vision / On-Device Processing Intern

Mapillary | Remote

Mapillary is a street-level imagery platform, powered by collaboration and computer vision. We are making images and map data available at scale to develop smart cities, build the maps of the future, and pave the way for autonomous vehicles. We are looking for an intern to join our computer vision team at Mapillary. You will be working on an R&D project to optimize Mapillary’s state-of-the-art object recognition algorithms for mobile platforms. You will be working with a team of engineers and researchers with extensive experience in computer vision, deep learning, and mobile app development. Your goal is to advance the state-of-the-art on low-cost and real-time object recognition and to collaborate with our mobile app team to develop a proof-of-concept for an on-device processing application on iOS. The result of the project can additionally lead to a publication in a high-impact computer vision conference.

More info | Contact: Karim Osman | Posted on: 2019-04-30 07:07:14 UTC

Simulation Engineer

DeepMap, Inc. | Palo Alto, CA and Beijing, CN

More info | Contact: Drew Fong | Posted on: 2019-04-30 07:04:39 UTC

Senior Computer Vision Software Engineer

DeepMap, Inc. | Palo Alto, CA

More info | Contact: Drew Fong | Posted on: 2019-04-30 07:03:57 UTC

Deep Learning Software Engineer

DeepMap, Inc. | Palo Alto, CA

More info | Contact: Drew Fong | Posted on: 2019-04-30 06:52:09 UTC

Computer Vision Software Engineer

DeepMap, Inc. | Palo Alto, CA and Beijing, CN

More info | Contact: Drew Fong | Posted on: 2019-04-30 06:50:56 UTC

Research Scientist in Biometrics

Aware, Inc. | Bedford, MA

Be part of leading edge research and development at Aware, Inc., a global provider of commercial off-the-shelf, standards-based biometrics software since 1993. We are looking for world-class engineer scientists who excel at algorithm development and are not intimidated by challenging problems. Aware seeks a qualified candidate for the position of Research Scientist to join its research team at its headquarters in Bedford, MA. The ideal candidate will be a self-motivated, team-oriented experienced research scientist or engineer with a good understanding of image processing, machine learning and pattern recognition. This position requires an organized individual with very strong technical skills who is adept at understanding and solving complex technical problems and eager to explore uncharted territories in biometrics and pattern matching. Responsibilities include performing advanced algorithm research and development in areas deemed complimentary to Aware’s digital image-based software products with a focus on biometric applications. The Research Scientist will work with the engineering staff to implement research results into commercial-quality software for product development and enhancement. Preferred Qualifications: degree: Ph.D. in computer science, EE or related discipline proven track record of algorithm development and software implementation training or work experience in clustering, pattern classification, machine learning, image analysis strong background in mathematics, statistics and AI excellent writing and oral communication skills thorough knowledge and use of modern programming languages and operating systems, including: C/C++/Java, Python, in Windows and Linux/Unix environments experience with large datasets, empirical testing, experiment design, statistical data analysis a plus face, and/or voice biometric experience a plus All qualified candidates may submit cover letter and resume to: triopka@aware.com. For more information on Aware, please visit: http://www.aware.com/biometrics/

More info | Contact: Terry Riopka | Posted on: 2019-04-25 14:24:32 UTC

Postdoc position in NLP/computer vision at Boston University

Boston University |

The Artificial Intelligence Research group at Boston University is soliciting applications for postdoctoral fellows with a start date of September 1st, 2019, or earlier. The position is for two years extendable to three, in the area of computer vision and NLP with the focus on learning under low resource settings for vision and language tasks. Interested applicants should email a CV, research statement, and contact information of 2-3 references to Derry Wijaya (wijaya@bu.edu) and Kate Saenko (saenko@bu.edu)

More info | Contact: Derry Wijaya | Posted on: 2019-04-24 06:27:19 UTC

Senior/Staff/Principal - Video Standards Engineer (San Diego / Santa Clara, CA)

Qualcomm Technologies, Inc. | California - San Diego

Join Qualcomm Technologies QCT Multimedia group and contribute to the Corporate & Industry-wide initiatives for developing video codec and protocols for multimedia services in wireless networks. Responsibilities: •Contribute to the conception, development, implementation and optimization of new algorithms allowing to further improve coding efficiency over state-of-the-art video codecs such as HEVC. Considerable focus will be placed on compression of High Dynamic Range and Wide Color Gamut content as well as Virtual Reality and 6DoF video. •Consider application of the latest advancements in Machine Learning to video compression. •Actively participate in the related work of standardization forums: JVET, MPEG Video and ITU-T/VCEG. •Participate in the design and implementation of HEVC and future video codecs. •Initiate ideas, design and implement algorithms for superior encoder performance, including perceptually based bit allocation. •Collaborate with hardware and software teams to come up with optimal solutions for various platforms including hardware, ARM and DSP, etc. Apply using activity code : QICLR19

More info | Contact: Shashank Sangar | Posted on: 2019-04-24 06:25:13 UTC

Camera Systems Algorithm Engineer – Machine Learning

Qualcomm Technologies, Inc. | California - San Diego

The Qualcomm Camera Team is seeking a passionate systems algorithm engineer with focus in machine learning technologies to join the team in San Diego. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU to deliver exceptional pictures, videos, and computer vision capabilities. Responsibilities for the position include the following: Research, Design and Develop novel deep learning vision algorithms for camera processing, computer vision and related areas Optimize deep learning algorithms for on-device inference Propose system and algorithmic design changes to improve machine learning inference speed All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Apply using activity code : QICLR19

More info | Contact: Shashank Sangar | Posted on: 2019-04-24 06:24:16 UTC

Camera 3A Systems Engineer

Qualcomm Technologies, Inc. | California - San Diego California - Bay Area Canada China Germany - Munich India - Bangalore Ireland - Cork South Korea Taiwan - Hsinchu Texas - Austin

The Qualcomm Camera Team is seeking a passionate systems algorithm engineer with focus in camera 3A (auto focus, auto exposure auto white balance) to join the team in San Diego. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU to deliver exceptional pictures, videos, and computer vision capabilities. Responsibilities for the position include the following: Research, Design and Develop novel 3A (auto focus, auto exposure auto white balance) algorithms for camera processing Implement and optimize 3A algorithms on device Propose system and algorithmic design changes to improve overall system performance All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Apply using activity code : QICLR19

More info | Contact: Shashank Sangar | Posted on: 2019-04-24 06:23:17 UTC

Camera Systems Engineer

Qualcomm Technologies, Inc. | California - San Diego California - Bay Area Canada China India - Bangalore Ireland - Cork Israel - Haifa South Korea Taiwan - Hsinchu Texas - Austin

Qualcomm Multimedia Systems Group is seeking candidates for its Camera systems team in San Diego, CA. The team focused on imaging system design and development for mobile devices at both high and low levels. We are seeking candidates with technical excellence in Image Processing and the creativity and initiative to apply their technical knowledge to exciting new camera technologies for mobile devices. Responsibilities: The selected candidate will have responsibilities in one or more of the following areas: End-2-end systems development, prototyping and commercialization of new camera features/technologies. Commercialize machine learning solutions for image and camera processing on embedded platforms. Embedded low level camera driver design and development, work throughout the firmware life cycle. Implementation and optimization of pre-processing and post-processing image processing algorithms using various compute engines available on Qualcomm System-on-Chip (SoC) devices. Apply using activity code : QICLR19

More info | Contact: Shashank Sangar | Posted on: 2019-04-24 06:22:19 UTC

Camera System Engineer - Architecture, Algorithm, System design, Modeling, Image & Video Quality

Qualcomm Technologies, Inc. | California - San Diego California - Bay Area Canada China Germany - Munich India - Bangalore Ireland - Cork Taiwan - Hsinchu Texas - Austin

Qualcomm QCT Camera team is seeking a passionate camera system engineer to join the QCT team. The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, and machine intelligence. We have multiple positions opening in the following areas: Camera algorithm, sensor and ISP tuning Camera architecture and embedded system SW. Image/video quality Camera modeling Minimum qualification: Academic/experiences in Image processing and/or Video processing and/or digital signal processing and/or color processing Programming skills in C/C++, Matlab, Python and Java Good analytic and problem solving skills Independent work within a fast-paced & collaborative environment with geographically & functionally distributed teams Preferred Qualification: Prefer to have experiences in one or more following areas: ISP (Image Signal Processor) pipeline design, Camera Bayer processing design, Camera processing: denoising, detail enhancement, local tone mapping, high dynamic range (HDR) and color processing design CMOS sensor design Deep learning, machine learning, AI HW/SW architecture, micro-architecture on embedded multimedia system Embedded SW skill for large code base: implementation, integration, debug. Hands-on experience with multi-threaded computing (OpenMP, OpenCL, etc.) and/or SIMD (SSE/AVX) using C/C++ Proficiency with version control tools (P4) & code-tip maintenance using test automation (ABT) Image quality metrics, psychophysical human experiment for image and video quality ISP/3A quality tuning and IQ analysis tool. Apply using activity code : QICLR19

More info | Contact: Shashank Sangar | Posted on: 2019-04-24 06:20:43 UTC

Internship position for PhD students

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

Internship position is available within the group of Prof. Shengcai Liao (https://liaosc.wordpress.com/) at the Inception Institute of Artificial Intelligence (IIAI)( http://www.inceptioniai.org/ Inception Institute of Artificial Intelligence www.inceptioniai.org Inception Institute of Artificial Intelligence To seek the genesis of a future beyond the human imagination. ). Our main research directions include face/person detection/recognition/re-identification, and single-/multi-camera multi-target object tracking. The candidate will work directly under the supervision of a research associate (http://irtizahasan.com). Irtiza Hasan's home page irtizahasan.com "Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets", Irtiza Hasan, Francesco Setti, Theodoros Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso Under review at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2018 PDF [Requirements] Candidate must be a PhD student. Strong programming skills in face/person analysis. Ability to use deep learning libraries (Tensorflow, Keras, PyTorch, Caffe, Caffe2) is a must. Proficiency in Python is highly desired. Generally, we accept candidates who are willing to spend at least 5 to 6 months. [Benefits] Extremely competitive package (tax-free salary). Accommodation in a 4-start hotel, with breakfast, gym and swimming pool facilities. Powerful GPU farm with several hundreds DGX-1/DGX-2 servers. Comprehensive healthcare. Spectacular sea-view office. [Application] Please send an email to Irtiza Hasan (irtiza.hasan@inceptioniai.org) with the subject line [IIAI Position], including CV and links to your homepage/Google Scholar profile/Github or other profile with source codes developed by you. Applicants will be considered on a rolling basis.

More info | Contact: Irtiza Hasan | Posted on: 2019-04-22 01:33:04 UTC

Research Intern, Deep Learning, Object Detection and Segmentation (PhD University Student)

Markable AI | Brooklyn, NewYork

We are seeking computer vision interns to work as part of an innovative and hands-on team at MarkableAI. You will be part of our core research team and help develop tools and techniques for detecting and segmenting garments in fashion images and videos. We welcome PhD students in computer science, applied math, electrical engineering, or similar, with a strong background in computer vision, machine learning, and python programming. Experience with OpenCV, PyTorch, and TensorFlow and publications in major computer vision conference will be a plus.

More info | Contact: Kay Kang | Posted on: 2019-04-22 01:30:49 UTC

Lab Director/Senior Researcher/Researcher/Associate Researcher

Horizon Robotics | Nanjing, China

Institute of Advanced Artifical Intelligence in Nanjing (IAAI) is looking for strong, passionate researchers at various levels in the areas of computer vision、machine learning&natural language processing. Qualifications: PhD degree in computer science, pattern recognition, or equivalent field Good research track record in related areas, with evidence through academic publications and services Extensive and deep research experience in, and familiarity with, the literature and the state-of-the-art research/practice in related areas Demonstrated ability to develop research agendas and carry out research tasks independently and/or with collaboration Good communication and presentation skills in written and oral English Good implementation skills as a strong plus Hands-on tech-transfer experiences and/or project management skills Top Conference Papers as a strong plus

More info | Contact: Shan.Wang Senior Recruiter | Posted on: 2019-04-22 01:29:35 UTC

Postdoc in Computer Vision for Autonomous Vehicles

University of Nevada, Las Vegas - Fraunhofer IVI | Las Vegas, Nevada and Dresden, Germany

The Transportation Research Center (TRC) at University of Nevada, Las Vegas (UNLV) is seeking qualified candidates for a postdoctoral position in computer vision for autonomous vehicles (AV) and intelligent transportation systems (ITS). The position is part of a joint research collaboration between Fraunhofer IVI in Dresden and UNLV on infrastructure support for connected autonomous vehicles (CAVs). The goal of the project is to expand environmental perception and safety using infrastructure sensing and to start an (AV) program at UNLV. The position will manage, develop, implement and field test software for AV and connected vehicles (CV) with ITS infrastructure. This position requires working with an interdisciplinary and diverse team of professors, university professionals, and graduate students. The position is funded through 2022 and will require 12-15 months in Dresden initially and then a return to UNLV afterwards. This position requires a Ph.D. degree from a regionally accredited college or university and experience in object detection/classification, tracking, and activity analysis. The candidate should be an expert in machine learning/AI with strengths in deep learning including convolutional neural networks (CNNs), and recurrent neural networks (RNNs). The ideal candidate will be familiar with reinforcement learning, deep learning tools such as TensorFlow, Keras, and PyTorch, and have experience with AVs.

More info | Contact: Brendan Morris | Posted on: 2019-04-22 01:28:15 UTC

Senior Computer Graphics and Computer Vision Research Engineer

Huawei | San Diego

● You will innovate, develop, advance, publish and patent computer graphics, computer vision, AR/VR solutions ● Prototype interactive AR/VR projects for mobile platforms ● Design rich media and immersive experiences for mobile phones ● Create and implement artistic demos, integrated graphics, visual effects and games including level design, narrative elements, game dynamics ● Design software tools, asset pipelines, visual interfaces and functionalities to promote fast and agile proof-of-concept development for mobile phone systems and end-user programs ● Work closely with a team of senior researchers throughout all stages of technology development ● Integrate CV, AI, ML technologies into AR/VR projects…. Qualifications: ● PhD, MS+3, MFA+3 or equivalent in CG, CS, EE, HCR, Arts, Design or a related field ● Very strong experience with Unity 3D or UE4 ● Portfolio of work samples for AR/VR ● Ability to create a consistent and photorealistic style ● Hands-on experience in software and prototype development for AR/VR, in particular for Android ● Solid understanding of modern 3D graphics API, shaders, shading languages and rendering techniques ● Extensive experience in UX design, have a real passion for creating amazing looking user interfaces, 3D content, 3D scenes and scenarios ● Experience working on a game from start to finish, delivering assets efficiently and effectively ● Excellent implementation skills in Python, C/C++, C#, or Java ● Experience in computer vision technologies and multimedia processing ● Highly motivated to work as a team player and as an individual contributor ● Comfortable working in a fast-paced environment with a can-do attitude ● Good oral and written communication, interpersonal skills and fluency in English ● Send inquiries directly to Prof. Fatih Porikli

More info | Contact: Prof. Fatih Porikli | Posted on: 2019-04-22 01:26:36 UTC

Computer Vision Engineer

Path Robotics, Inc. | Columbus, Ohio

We are looking for a computer vision expert who is highly motivated and knowledgeable to join us. This individual will be responsible for developing vision algorithms, coding, evaluating, and releasing them into production software. There will be a focus on object recognition and localization, new structured light sensor development, and one-shot learning. This engineer will apply a strong theoretical background with practical considerations to solve challenging problems. Some more information about the role below: Develop and implements methods to quickly and accurately find highly occluded objects in 3D point clouds. Test and evaluate current state-of-the-art methods used for scene segmentation. Stay abreast of new research and novel findings in the fields of computer vision and machine learning. May work towards novel “one-shot” learning methods. May work independently or collaborate with other experts in artificial intelligence, robotics, engineering, and computer science.

More info | Contact: Stephanie Daetwyler | Posted on: 2019-04-22 01:25:34 UTC

Sr. Research Scientist, AI on Medical Imaging

UII America, Inc. | Cambridge, MA, USA

UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. It is committed to provide AI solutions for medical devices, imaging, and diagnosis – to help clients better understand and embrace AI. UII empowers doctors and equipment for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America is building a world-class research and development team in Cambridge, MA. We are looking for multiple levels of AI researchers who can strengthen our R&D assets in Artificial Intelligence, especially on Medical Imaging and Healthcare data. The successful candidate will approach technical challenges enthusiastically, exhibit a strong desire to learn and apply new technologies to accomplish exciting tasks. He/She will show a proven ability to work on challenging and practical problems of medical imaging or other types of Healthcare datasets together with a talented R&D team. The candidate should: (1) PhD Degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Biomedical Engineering or related field. (2) 5+ years of experience in research and development in Machine Learning and Deep Learning. (3) Strong knowledge in state-of-the-art AI and DL technologies. (4) Proven experience in conducting cutting edge research with successful outcome. (5) Proven track record of publications in top-tier conferences and journals in Machine Learning, AI, Medical Imaging, or related fields (e.g. NIPS, ICML, CVPR, ICCV, ECCV, MICCAI, etc.). (6) Proficient with algorithms as well as C/C++ and Python. (7) Hands-on experience using Deep Learning frameworks such as TensorFlow, PyTorch, Caffe or MxNet. (8) Ability to develop practical solutions to challenging problems. (9) Experience and knowledge in Healthcare domain is a plus. Application Procedure: Interested applicants please send your full CV to shanhui.sun@united-imaging.com with email title Sr. Research Scientist, AI on Medical Imaging.

More info | Contact: Shanhui Sun | Posted on: 2019-04-17 08:05:50 UTC

Computer Vision Scientist

microsoft | Redmond, Washington, United States

We in Computer Vision at Microsoft are at the frontier of creating technologies with Vision & AI that use Scene, Object and Human Understanding with computational frameworks spanning Intelligent Devices, such as Hololens and Smartphones, and an Intelligent Cloud for ubiquitous intelligence. We are a growing team of talented researchers, engineers and artists putting technology on all devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, connected to Microsoft’s Intelligent Cloud. There will be a better way for people to work and play in a human and physical world through Augmentation of Humans and Machines. Come join us in creating this future! Responsibilities We’re looking for a scientist/engineer to join our team. You will be part of a group that uses the latest engineering practices, works on cutting-edge technologies, and solves complex problems in computer vision and machine learning. Qualifications Basic Qualifications: · A PhD degree in Computer Vision and Visual Learning or related disciplines. · Strong track record of applied research and software development. · Creativity in mathematical formulations and algorithms with the discipline and perseverance to create software solutions for products. Preferred Qualifications: · Experience using off the shelf tools in Vision, Video and Deep Learning. · 2+ years of Industry/Research experience as an individual contributor. · Strong communication skills for effective technical and personal team interactions. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

More info | Contact: Prachi Mehrotra | Posted on: 2019-04-17 08:04:28 UTC

Video Coding Algorithm Engineer

Kwai | Beijing

Responsibilities Design and implement video coding algorithms and framework focusing on mobile platform. Design and implement and optimize algorithms/framework to achieve better QoE/QoS over various scenarios Requirements BS or higher degree of CS, Multimedia Communication, Signal Processing, Electrical Engineering or related majors. Familiar with video coding algorithm and standards like H.264, H.265 AV1 and etc. Success shipping media products involving Image and Video Processing, video capture/playback, editing, streaming and codecs (H.264/AVC, HEVC) Excellent programming skills and proficient with C/C++ Experience with computer vision, media analysis pipeline is a plus Experience with digital image processing and machine learning. Good communication skills and team work.

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:24:12 UTC

Video Coding Optimization Engineer

Kwai | Beijing

Responsibilities Design and implement video coding framework, optimize on mobile and server platform. Design and implement algorithm/optimization to achieve better QoE/QoS Requirements BS or higher degree of CS, Multimedia Communication, Signal Processing, Electrical Engineering or related majors. Familiar with video coding algorithm and standards like H.264, H.265 AV1 and etc. Expertise in optimization on both X86 and ARM platforms. Prefer experience in opensource video codecs (x264/265) Experience in multi-threading. Familiar with development on mobile platforms Good communication skills and team work.

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:23:45 UTC

Image/Video Algorithm Engineer

Kwai | Beijing

Responsibilities Design image and video analysis and processing algorithm for multiple applications Implement and optimize video/image analysis and processing algorithm on various platforms (iOS, Android, Linux, and etc) Minimum Requirement Master degree of image/video processing, computer vision, or machine learning 2+ years of hands-on experience in image/video algorithms and related products Over 4 years’ experience on C/C++, Python or MATLAB Additional Requirements Familiar with theories of image/video processing algorithm. Preferred experience with beautification, denoising, enhancement, stabilization, interpolation, and detection. Experience with OpenGL/Metal. Experience with machine learning, pattern recognition, computer vision. Publication records on international conference and journals Expertise in optical Imaging, digital imaging and digital signal processing. Experience with video coding is a plus.

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:23:16 UTC

Image/Video Algorithm Optimization Engineer

Kwai | Beijing

Responsibilities Design and implement image/video analysis and processing architecture Implement and optimize image/video analysis and processing algorithms Requirements BS or higher degree of CS, Multimedia Communication, Signal Processing, Electrical Engineering or related majors. Familiar with all kinds of image processing algorithms and optimization. For example, beautification, denoising, enhancement, stabilization, interpolation, detection, and etc. Expertise in optimization on both X86, ARM, GPU. Prefer experience in assembly optimization of image algorithms. Experience in multi-threading. Familiar with software development on mobile platforms (iOS/Android) Good communication skills and team work.

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:22:22 UTC

Senior Algorithm Engineer in Planning and Decision Making

Kwai | Beijing

Job Title: Senior Algorithm Engineer Company Name: Kuaishou Job Location: Beijing, China Job Responsibilities: Optimize the Kuaishou Transport Protocol (KTP) for multimedia communication Design and implement high-efficiency algorithm for Video Live, VoD, Real-Time Communication and adaptive streaming Job Requirement: Knowledge of high-level streaming protocols and/or low-level network protocols Experience with mobile networking, and ideally with rate control or congestion control algorithms Knowledge of deep learning is prefereed Experience with NOI、ACM、TopCoder is preferred Experience with UDP based optimization is preferred

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:21:36 UTC

Stream Media Data Analyst

Kwai | Beijing

Job Responsibilities： Enhance the user experiences by A/B Tests and analyzing data related to VOD and live streaming Support the media team with data insights in order to enhance user experiences and lower the cost Build a robust system for media quality analytics and data monitoring to increase the efficiency in data analyzing Instantly notice the data exceptions, efficiently figure out the causes and put forward solutions by observing the real-time data Job Requirement： 2+ Years as a Data Analyst or in a similar field Deep understanding in Statistics and Machine Learning, capable of handling complicated problems Proficiency in Excel, HQL, Python, R and similar data analyzing tools Good communication and strong logical thinking skills, ability to learn quickly Prior considerations will be given if the candidate shows knowledge of products and technology related to videos and lives

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:18:28 UTC

Stream Media Big Data Engineer

Kwai | Beijing

Job Responsibilities： Enhance the experiences of worldwide users in watching videos and lives on our products Design metrics reflecting QoS, build a robust platform for data analytics, support and consistently enhance the data monitoring system and increase the development efficiency in order to provide better experiences for users Build the real-time data analysis pipeline, realize the refined traffic schedule strategy and optimize the traffic cost Job Requirement： Strong programming skills, candidates with experiences in developing tech/app/data architectures will be given prior considerations Deep understanding in the Lambda architecture for big data processing, experiences in using Kafka, Spark, Hive/ES, HBase/Druid, especially Flink and processing big data are highly valued Good command of the computer network, deep understanding in the protocol standard related to the stream media, experiences in the internet topology optimization and mobile network optimization will be a bonus Advanced data product views, strong ability in reflecting complicated and abstract business needs to concrete technical solutions, and strong problem-solving skills

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:17:33 UTC

Audio Engineer

Kwai | Beijing

Description of this Job： Job Responsibilities： Responsible for AEC, ANS, AGC and codec technology in voice communication. Responsible for audio effect technology such as reverberation, equalizer, voice change. Responsible for audio detection and classification technology. New tech research in music, audio, voice areas. Job Requirement： Familiar with basic sound and music knowledge. Good at digital signal processing. Good at programming in c/c++, Matlab or Python. Good at implementing audio algorithm. Familiar with marching learning. Good capability in learning and algorithm research work.

More info | Contact: Xuehui Zhang | Posted on: 2019-04-15 08:16:37 UTC

Machine Learning Engineer（Kwai Commercial Department）

Kwai | Beijing

Responsibility:  Design and optimize CTR/CVR related algorithms  Large scale distributed machine learning platform development  Building robust and efficient computational pipelines to scale up ML models  Lead the effect of algorithm productization  Analyze and solve problems in the actual business setting, provide technical guidance for business decision Basic Requirement：  MS degree or above is required  Work experience on machine learning, rich R&D experience and successful experience of developing a technical product.  Deep understanding of the main fields and directions in machine learning  Strong algorithm analysis and implementation skills, proficient with C/C++, Python, or at least one of the main stream coding languages, experienced with parallel programming on GPU, multi-CPU, or multi-machine.  Good team worker, creative and quick learner. Preferred Requirement：  Award winner in ACM competition or other STEM related competitions.

More info | Contact: Meiqi Wu | Posted on: 2019-04-15 08:15:36 UTC

Senior Data Mining Engineer （Kwai Commercial Department）

Kwai | Beijing

Responsibilities：  User profile modeling based on KwaiShou massive session and engagement data, user feature including basic profile and commercial tag of interests.  Improve efficiency of ads targeting and creative matching using user profile and commercial tags. Requirement：  Familiar with data mining skills like machine learning, DNN, classifying and clustering, algorithm optimizing, NLP is a plus.  Developing in Linux, proficient in one of python/awk/go/C/C++  Big data developing is a plus, including skills like Hive/Flink/Spark/ClickHouse

More info | Contact: Meiqi Wu | Posted on: 2019-04-15 08:14:52 UTC

Algorithm Engineer （Kwai Recommendation）

Kwai | Beijing

Job Responsibilities： • Develop industry leading recommendation system. • Apply the state of the art machine learning, data mining in a variety of areas, such as CTR/watch time prediction, user modeling, learning to ranking, etc. • Develop scalable and efficient approaches for recommendation to impact hundreds of millions of users. • Have access to one of the largest and most diverse video datasets in the world. • Participate in the traffic mechanism design. Job Requirement： • Ph.D. or Masters in CS/EE or a related discipline. • Familiarity with Python, C/C++, Java or any other OOP language. • Strong experience with data structures and algorithms. • Experience in academia or industry on recommender system/ computer vision / NLP/ machine learning / deep learning. • Strong communication and teamwork skills. • Publications in KDD, SIGIR, WWW, CVPR, ICCV, NIPS, ICML or other top-tier venues is a big plus.

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:13:50 UTC

Machine Learning Engineer/Researcher (Reinforcement Learning)

Kwai | Beijing

Responsibilies: 1. Apply reinforcement learning and deep learning techniques to solve problems in a series of product lines at Kwaishou, e.g., recommender systems, advertising, games, etc. 2. Build reliable and scalable machine learning production systems. Requirements: 1. MS or PhD degree in artificial intelligence, machine learning, pattern recognition, natural language processing, or related areas. 2. Good programming skills and proficiency in languages like Python/C/C++. 3. Experience in applying machine learning and familiar with deep learning frameworks such as TensorFlow/Pytorch. 4. People who is self-motivated, and is interested in using machine learning and reinforcement learning techniques to solve industry problems. Preference: 1. Publications in top-tier conferences and journals, such as NIPS, ICML, IJCAI, ICLR, CVPR, SIGKDD, ACL, RecSys, PAMI, etc. 2. Proven experience in one or more of the following fields: deep reinforcement learning, game theory, recommender system, computational advertising, natural language processing, large-scale distributed system, etc.

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:12:59 UTC

Computer Vision Engineer Leader

Kwai | Beijing

Job Description - At Kwai, we are conducting cutting-edge AI research for processing and understanding video content to enrich our users' experience and to push the frontier of computer vision, graphics, and AI. - The company has competitive computing power, with several thousand GPUs - The company also has well-rounded statistics and strong technical support for it - Here you shall develop yourself along with the fastest-growing IT company in the world, and enjoy free lunch, supper, afternoon tea, and gym. Responsibilities: 1.Developing visual algorithm technologies, including but not limited to image classifications, multi-label and captioning. 2. Applying the analysis service of a massive number of videos to the company’s relevant projects, and be responsible for the results. 3. Constructing a well-arranged visual algorithm team. Desired Skills/Experience 1. MS / Ph.D. degree in Computer Science or related field 2. Publications at leading machine learning or computer vision conferences (CVPR, ICCV, ECCV, etc.) will be a bonus 3. Considerable interest in the analysis of videos, and abundant industry experience in using deep learning for computer vision 4. A deep understanding of the basic theories of deep learning and application on a massive scale

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:11:48 UTC

Machine Learning Applications Engineer (Video Content Understanding)

Kwai | Beijing

Responsibilities: 1. Developing short video content analysis algorithm, including but not limited to classifications, multi-label and captioning. 2. Applying the analysis service of a massive number of videos to the company’s online projects, and being responsible for the results. Desired Skills/Experience: 1. MS / Ph.D. degree in Computer Science or related field 2. Considerable interest in the analysis of videos content, industry experience in using deep learning for computer vision shall be prioritized 4. Deep understanding of the basic theories of deep learning

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:10:55 UTC

Research Scientist - Computer Graphics

Kwai | Beijing，San Jose

Responsibility: ● Design and optimize graphics related algorithms, tailored towards product needs ● Lead the effect of algorithm productization ● Conduct research on cutting-edge graphics techniques ● Analyze and solve problems in the actual business setting, provide technical guidance for business decision Basic Requirement: ● MS degree or above is required, PhD degree on fields related to computer graphics is preferred. ● Work experience on computer graphics, rich R&D experience and successful experience of developing a technical product. ● Deep understanding of the main fields and directions in computer graphics, has conducted solid research on rendering, modeling, animation or simulation. ● Strong algorithm analysis and implementation skills, proficient with C/C++, Python, or at least one of the main stream coding languages, experienced with parallel programming on GPU, multi-CPU, or multi-machine. ● Excellent English skills on reading and understanding academic literature. ● Good team worker, creative and quick learner. Preferred Requirement: ● High quality publications on top conference or journals in the field of computer graphics, such as SIGGRAPH, SIGGRAPH Asia, Eurographics. ● Award winner in ACM competition or other STEM related competitions.

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:10:06 UTC

Research Scientist - Computer Vision

Kwai | Beijing

Responsibilities ● Design and optimize computer vision related algorithms in field of Segmentation, Object/Face detection, SLAM, 3D, etc.； ● Develop new algorithms to improve the image/video quality or enable new photography features； ● Collaborate with product/engineering teams to translate research projects into products； ● Conduct research on cutting-edge CV techniques ● Analyze and solve problems in the actual business setting, provide technical guidance for business decision ● Participate in the development of CV algorithms related to smart shooting with mobile phones. ● Evaluate the output of the model and make iterative improvements. ● Hands-on programming skills. Required Qualifications ● MS or Phd in Computer Science, Computer Vision, Machine Learning, Electronic Engineering or related field ● 3+ years experience in computer vision/graphics, or deep/machine learning. ● Excellent programming skills in one or more of the following: Python, C and/or C++ ● Familiar with deep learning platforms, such as Pytorch, Tensorflow, Caffe, MXNet, etc Preferred Qualifications ● Practical experience in designing computer vision systems for commercial software ● Publishing papers at conferences, e.g. NIPS, ICML, ICCV, CVPR, ICLR, etc ● Won prize in ACM ICPC, Kaggle, or other related international competitions

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:08:51 UTC

Research Scientist / Research Engineer

Seattle AI Lab @ Kwai | Seattle

About the Position At Kwai Seattle AI Lab, we are conducting cutting-edge AI research to serve the real products at company, including but not limit to ranking, recommendation systems/algorithms, ML/DL infrastructure, game AI, model compression, AutoML, large scale training systems, speech/music understanding/generation, computer vision, natural language processing/understanding, etc. We are seeking highly innovated AI research scientists and engineers to work with us to define the next generation of our products. As part of the team, you will … • Growing with one the most rapidly growing AI companies worldwide, with your work impacting hundreds of millions of users. • Closely collaborate with top-tier researchers and engineers in the US and China. • Access to one of the largest and most diverse video datasets in the world. • Work on extremely challenging real industrial problems with huge impacts to the research community. Desired Skills and Experience • Clear logic • Strong programming skill • Familiar with parallel deep learning training • Strong ability of solving new problems • Ph.D. or Masters in CS/EE/IE/STAT/Math or a related discipline. • Recent publications in top-tier venues such as (but not limit to) ICML, NIPS, OSDI, SIGMOD, SIGKDD, ICLR, CVPR, ICCV, ICASSP, Interspeech, ACL, EMNLP, NAACL, JMLR, and TPAMI. • Research experience in machine learning in general, game AI, computer vision, NLP, speech, etc. • Familiar with traditional methods and/or deep learning based methods Experience with one of the deep learning toolkits such as TensorFlow, PyTorch, etc.

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:07:55 UTC

Research Scientist / Research Engineer

Silicon Valley AI Lab @ Kwai | Silicon Valley

About the Position At Kwai Silicon Valley Lab, we are conducting cutting-edge AI research for processing and understanding video content to enrich our users' experience and to push the frontier of computer vision, graphics, and AI. We are seeking highly innovated AI scientist to help us define the next generation of our product. As part of the team, you will … ● Grow with one the most rapidly growing AI companies worldwide, with your work impacting hundreds of millions of users. ● Closely collaborate with top-tier researchers and engineers in the US and China. ● Have access to one of the largest and most diverse video datasets in the world. ● Work on extremely challenging problems with opportunities to impact the research community. Desired Skills and Experience ● Ph.D. or Masters in CS/EE or a related discipline. ● Recent publication in SIGGRAPH, CVPR, ICCV, ECCV, ICML, NIPS or other top-tier venues. ● Research experience in academia or industry on computer vision / graphics / machine learning / deep learing. ● Experience with one of the deep learning toolkits such as TensorFlow, PyTorch, Caffe etc. ● Experience with deep learning on mobile platforms is a big plus.

More info | Contact: Hanlu Ye | Posted on: 2019-04-15 08:05:53 UTC

Machine Learning Scientist

microsoft | Redmond, WA USA

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams). We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable Applied Machine Learning Scientist who is passionate about machine learning and driven to make an impact. Primary responsibilities: Apply machine learning to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability Understand and be able to leverage core concepts of video processing and/or audio processing Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration. Drive independent investigations resulting in shipping product code, patents, and publications. Qualifications: MS. or Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent Minimum of 2 years of experience in machine learning using tools like CNTK/TensorFlow/ Pytorch/Scikit-learn, etc. Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

More info | Contact: Ross Cutler | Posted on: 2019-04-15 08:00:36 UTC

Open PhD Position in Computer Vision/Deep Learning for Healthcare Sponsored by Intuitive Surgical

University of Strasbourg | France

The operating room is a high-tech environment in which the surgical devices generate a lot of data about the underlying surgical activities. Our research group aims at making use of this large amount of multi-modal data coming from both cameras and surgical devices to develop an artificial intelligence system that can assist clinicians and staff in the surgical workflow. In this context, we currently have a new PhD position at the University of Strasbourg that will focus on developing machine learning and computer vision methods to understand the scene of the operating room, recognize the human activities, and analyze the workflow. The project will use as input multi-view RGB-D videos capturing surgical activities. As this PhD position is funded by a fellowship from Intuitive Surgical, the successful candidate will have the opportunity to interact with researchers from Intuitive Surgical and also to conduct internships at the company in Sunnyvale, California.

More info | Contact: Nicolas Padoy | Posted on: 2019-04-14 01:49:05 UTC

Research Engineer Position in Deep Learning and Computational Media Studies at UCLA and Stanford

UCLA | Los Angeles

An interdisciplinary team of researchers at UCLA and Stanford are looking for a research engineer who will join an NSF-funded project. The main goals of the project are to build an integrated media database which consists of international TV news videos, Twitter, Sina Weibo, newspaper data, and to develop computational tools to analyze multimodal data. We currently have individual systems collecting data from each source independently, which need to be unified and interlinked. This integrated database will allow researchers to investigate comprehensive research questions such as inter-media or international news flow and agenda setting. Special focuses are made on multimodality to understand the effects of audiovisual cues (eg, facial expressions, gestures, tone, iconic visuals) as well as verbal content. The project builds on a variety of computer vision, audio processing, NLP tools to automatically analyze media content, cluster articles, tweets, news stories from multiple platforms, and detect and track news event trajectories. The research engineer will work closely with PIs and graduate students to (1) design and develop the computing system and analytic tools and (2) to perform research on intermedia news flow and multimodal communication using our data. The successful candidate should have strong computational skills and background in machine learning and related fields. Candidates with industry and research experience are especially encouraged to apply. Interested candidates should send their Resume / CV to Prof. Jungseock Joo (jjoo@comm.ucla.edu).

More info | Contact: Jungseock Joo | Posted on: 2019-04-14 01:45:30 UTC

Postdoc Position in Deep Learning and Computational Media Studies at UCLA and Stanford

UCLA | Los Angeles

An interdisciplinary team of UCLA and Stanford researchers are looking for a candidate who will join an NSF-funded project as a postdoctoral researcher. The main goals of the project are to build an integrated media database which consists of international TV news videos, Twitter, Sina Weibo, newspaper data, and to develop computational tools to analyze multimodal data. We currently have individual systems collecting data from each source independently, which need to be unified and interlinked. This integrated database will allow researchers to investigate comprehensive research questions such as inter-media or international news flow and agenda setting. Special focuses are made on multimodality to understand the effects of audiovisual cues (eg, facial expressions, gestures, tone, iconic visuals) as well as verbal content. The project builds on a variety of computer vision, audio processing, NLP tools to automatically analyze media content, cluster articles, tweets, news stories from multiple platforms, and detect and track news event trajectories. The post-doc will work closely with PIs and graduate students to (1) design and develop the computing system and analytic tools and (2) to perform research on intermedia news flow and multimodal communication using our data. The successful candidate should have strong computational skills and background in machine learning and related fields. Interested candidates should send their CV and a link to their Google Scholar page to Prof. Jungseock Joo (jjoo@comm.ucla.edu).

More info | Contact: ungseock Joo | Posted on: 2019-04-14 01:44:45 UTC

AC3E Postdoc Positions

Advanced Center for Electrical and Electronic Engineering (AC3E) | Valparaíso, Chile

The Advanced Center for Electrical and Electronic Engineering (AC3E) is offering up to four postdoctoral fellowships in the lines of research of the Center: Control and Automation, Renewable Energy and Power Conversion, Robotics, Biomedical Systems, Electrical Systems, and Data Analytics and Computational Intelligence. The AC3E is part of Universidad Técnica Federico Santa María - UTFSM - one of the most prestigious universities in Chile and Latin America. The Center was created in 2014 to group individual research efforts into multi- and inter-disciplinary teams and to focus research towards industry-related problems to spark innovation. UTFSM is ranked #1 in Latin America in Electronic & Electrical Engineering and in Automation & Control, according to the ARWU Shanghai Ranking of Academic Subjects 2018. One of the postdoctoral fellows will be also part of the Clinical Research Center for the Improved Prevention, Diagnosis, and Treatment of Vocal Hyperfunction (P50 grant of the National Institute of Health - NIH, USA) that AC3E is part of through Dr. Matías Zañartu and other researchers. Required Documents 1. Cover letter explaining your interest in becoming part of AC3E. 2. Curriculum Vitae, including a list of publications. 3. Documentation providing evidence of the possession of a PhD or that the applicant is in the last stage of his/her doctoral studies. 4. Contact details of at least two referees, that may be contacted for a reference letter. Important Information · The postdoctoral fellowships are initially for a two-year period. · Required documents should be provided in English in a single PDF file. · AC3E is committed to gender diversity and we encourage women applicants to write confidently about their achievements. · The positions are for working at AC3E, located at UTFSM main campus in Valparaiso, Chile. · Selected candidates are expected to join AC3E no later than November 2019. · Deadline for application submissions is 31st of May, 2019. · Applications should be sent to ac3e@usm.cl with subject POSTDOC POSITIONS 2019-1

More info | Contact: José Delpiano | Posted on: 2019-04-14 01:42:45 UTC

Multiple Research Scientists positions

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

The Inception Institute of Artificial Intelligence (IIAI) is a national-scale organization of the UAE aiming for breakthroughs in fundamental and applied AI research. The aim of this research is to accommodate Deep Learning techniques to manifold-valued trajectories (and functional data) for the general Human Analytics (pain estimation, emotion classification, action recognition, gait recognition, physical performance assessment, pathology detection, etc.) from 2D and depth video streams, particularly shape data. To succeed in this role, you should have the following skills and experience: PhD in Computer Vision and Pattern Recognition. Publications in top CV journals and conferences (T-PAMI/ IJCV/CVPR/ICCV/ECCV/BMVC/ISBI…). Experience with Python and MATLAB, and Deep Learning libraries (PyTorch/Tensorflow/Keras/Caffe). APPLICATION: For a first contact, please send your CV/Resume to Prof. Boulbaba Ben Amor (Boulbaba.amor@inceptioniai.org). BENEFITS: Extremely competitive tax free salary. An extremely powerful GPU farm.

More info | Contact: Prof. Boulbaba Ben Amor | Posted on: 2019-04-14 01:36:07 UTC

Multiple Research Scientists positions

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

The Inception Institute of Artificial Intelligence (IIAI) is a national-scale organization of the UAE aiming for breakthroughs in fundamental and applied AI research. Grounding on Deep Learning techniques, the research target will be live-cells morphodynamics analysis for classification and prediction. The goal is to introduce novel methodological solutions and relevant computational tools to help biologists deeply understand the behavior of live-cells in their surrounding microenvironment. To succeed in this role, you should have the following skills and experience: PhD in Computer Vision and Pattern Recognition. Publications in top CV journals and conferences (T-PAMI/ IJCV/CVPR/ICCV/ECCV/BMVC/ISBI…). Experience with Python and MATLAB, and Deep Learning libraries (PyTorch/Tensorflow/Keras/Caffe). APPLICATION: For a first contact, please send your CV/Resume to Prof. Boulbaba Ben Amor (Boulbaba.amor@inceptioniai.org). BENEFITS: Extremely competitive tax free salary. An extremely powerful GPU farm. Work in collaboration with researchers from the INSERM institute in France.

More info | Contact: Prof. Boulbaba Ben Amor | Posted on: 2019-04-14 01:33:36 UTC

Computer Vision Software Engineer

Intelomed, Inc | Pittsburgh, PA

We are seeking a Computer Vision Software Engineer with expertise in real-time face detection and tracking and strong software development skills. You will be responsible for creating and modifying computer application software while working closely with team members to design and optimize code. Responsibilities include analyzing user needs; developing software solutions; collaborating with project manager and development team to meet specification requirements; documenting all programming tasks and procedures; and working with the development team to implement signal processing algorithms within code. Qualifications: 1) Previous experience in software development, computer engineering, or other related fields; 2) Knowledge of C++, OpenCV, Python, Machine Learning, FFMPEG, Dlib; 3) Familiarity with Matlab, Qt, Android Studio, LabVIEW, deep learning, telecommunication, mobile apps, medical devices, and signal processing are highly desirable; 4) Deadline and detail-oriented with strong analytical and critical thinking skills. Interested candidates please email your CV to abrumfield@intelomed with the subject line: CV Software Engineer.

More info | Contact: Anne Brumfield | Posted on: 2019-04-10 09:52:15 UTC

Research Internships at Inception Institute of AI

Inception Institute of AI | Abu Dhabi, UAE

IIAI is a new research institute with an international, collegial work environment and a team of well-published researchers (25 papers in CVPR 2019) in all our areas of interest. The research we do is enabled by our world-class compute infrastructure (100s of nVidia DGX-1/DGX-2 GPU servers). RESEARCH INTERN applicants are expected to be enrolled/graduated MS/PhD students with coursework + research experience in ML/CV, and comfort with the usual programming tools such as Python, OpenCV, TensorFlow, PyTorch etc. Experience in Active Learning, Generative Modeling, or Image Embeddings will be a plus. APPLICATION: Please email all of the following to shadab.khan@inceptioniai.org and cc munawar.hayat@inceptioniai.org: ( 1 ) CV, ( 2 ) Link to relevant papers if any, ( 3 ) Github or dropbox link to your best code samples, ( 4 ) (a) Earliest start date and, (b) longest you can stay in the internship program. Duration is flexible on a case-by-case basis, though we prefer interns who can spend 5-6 months or more. BENEFITS: Competitive tax-free stipend, air tickets, health insurance and free 4* hotel accommodation with breakfast, gym, and swimming pool facilities. ABU DHABI: Combining megacity-convenience with small-town liberal setting, Abu Dhabi is home to several world-class facilities including New York University (NYU), Cleveland Clinic, The Louvre Museum, Ferrari World, Warner Brothers Theme Park, Yas Waterworld, and many others. With several pristine fine-sand beaches, multi-ethnic restaurants, a mangrove national park within the city, and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.

More info | Contact: Shadab Khan | Posted on: 2019-04-10 09:51:11 UTC

Full-time computer vision engineering position

KinaTrax | Boca Raton

KinaTrax is seeking candidates for a full-time computer vision engineering position at our offices in Boca Raton, FL. The position will focus on developing augmented reality applications for use in baseball. KinaTrax develops a markerless motion capture system that is used by several professional baseball teams to track the kinematics and kinetics of the pitcher and hitter in-game. These results are used to improve/evaluate player performance and prevent injuries. The candidate will have the opportunity to lead in the development of ground-breaking augmented reality applications aimed to help elite athletes assess and improve their performances. There is also occasional travel to test the developed technology and meet with players/coaching staff who will be using it. The candidate should: 1. Hold a BS/MS/PhD or related degree in the fields of computer vision and/or machine learning. 2. Have a strong proficiency in C/C++ and Python, 3. Have substantial working experience with and intense passion for augmented reality technologies, such as the Magic Leap One and Microsoft Hololens, 4. Have working experience with Deep Learning libraries, such as TensorFlow and Caffe. 5. Have working experience with computer vision libraries, such as OpenCV. 6. Have strong analytical and communication skills, and have the ability to work in a team setting to debug and test code. 7. Be self-driven with a strong work ethic, serious about meeting deadlines, and have a problem-solving mentality. Interest in baseball or sports in general is a definite plus. Competitive salary, relocation reimbursement, and comprehensive benefits are provided. If interested, please send an email to Steven Cadavid (scadavid@kinatrax.com) including your CV and links to your source code samples.

More info | Contact: Steven Cadavid | Posted on: 2019-04-10 09:49:34 UTC

Research Fellow

SCRiPTS @ NTU | Singapore

SCRiPTS @ NTU is currently looking for a candidate to join them as a Research Fellow. The successful applicant will be responsible for · Develop machine learning, AI and optimization algorithms to address real-world problems given by the center. · Engage industrial and governmental partners of the center to capture requirements, formulate research problems, and present findings. · Test and evaluate the algorithms, identify their weaknesses and improve them. · Guide junior researchers in the team. · Prepare reports and scientific papers. Job Requirements: · PhD in Computer Science, or related areas · Experience and excellent background in machine learning, AI and pattern recognition. · Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace. · Familiar with classical machine learning algorithms and deep learning methods. · Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning frameworks. · Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry. · Track records in publishing in top-ranked journals/conferences Experience on distributed learning, ensemble learning and transfer learning is preferable. Min. Years of Experience: 4 years including PhD study. Application Procedure: Interested applicants please send your full CV to adamskong@ieee.org with email title Research Fellow Application.

More info | Contact: Xu Xingpeng | Posted on: 2019-04-08 08:06:16 UTC

Research Fellow

Rolls-Royce@NTU Corporate Lab | Nanyang Technological University, Singapore

Rolls-Royce@NTU Corporate Lab is currently looking for a candidate to join them as a Research Fellow. The successful applicant will be responsible for · Develop machine learning, AI and optimization algorithms to address real-world problems given by Rolls-Royce. · Engage Rolls-Royce stakeholders to capture requirements, formulate research problems, and present findings. · Test and evaluate the algorithms, identify their weaknesses and improve them. · Guide junior researchers in the team. · Prepare reports and scientific papers. Job Requirements: · PhD in Computer Science, or related areas · Experience and excellent background in machine learning, AI and pattern recognition. · Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace. · Familiar with classical machine learning algorithms and deep learning methods. · Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework. · Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry. · Track records in publishing in top-ranked journals/conferences · Experience on optimization, time series and transfer learning is preferable · Background in electric engineering would be a plus Min. Years of Experience: 4 years including PhD study. Application Procedure: Interested applicants please send your full CV toadamskong@ieee.org with email title Research Fellow Application.

More info | Contact: Xingpeng Xu | Posted on: 2019-04-08 08:03:35 UTC

Senior Algorithm Engineer in Planning and Decision Making

DJI | Shenzhen, China

Responsibilities: 1. Design, Develop and validate planning and decision making algorithms for mobile robot applications operating in cluttered and dynamic environments. 2.Work collaboratively with engineers of different backgrounds to develop and design framework and architecture that focus on reliability and robustness. Requirements: 1.Motivation and good sense in deploying mobile robots and solving real-world challenges. 2. 3 years of research or industry experience in planning and decision making algorithms and applications. 3.Excellent in coding, software engineering and team work. 4.Expertise and track records in one of the listed fields: probabilistic knowledge extraction and representation, task and behavior planning in uncertain environments or reinforcement learning in robotics.

More info | Contact: Ryan.Su | Posted on: 2019-04-08 08:01:15 UTC

Senior Machine Vision Algorithm Engineer

DJI | Shenzhen, China

Responsibilities: 1.Design and optimization of machine vision systems for manufacturing; 2.Development and optimization of machine vision operators; 3.Design and review solutions related to machine vision and optics; 4.Participate in machine vision technology route planning, team day-to-day management and personnel development. Requirements: Master degree or above, with more than 5 years working experience in machine vision industry; 2. Familiar with the basic principles of image processing and machine vision algorithms, able to flexibly use operators for image matching, localization, segmentation, edge extraction, defect detection, etc.; 3. Familiar with the characteristics of various cameras, lens and light source of machine vision; 4. Solid optical theory knowledge and design experience, able to skillfully design optical path for different application scenarios; 5. Proficient in the use of Halcon, OpenCV or other software/libraries for machine vision system development, strong programming skills, proficient in any programming language or tool such as C, C++; 6. Strong communication skills, diligent and practical, with team spirit and good learning ability.

More info | Contact: Ryan.Su | Posted on: 2019-04-08 08:00:34 UTC

Image Processing Algorithm Engineer

DJI | Shenzhen, China

Responsibilities: 1.Responsible for image processing algorithm prototype design, performance simulation & optimization; 2.Responsible for algorithm system design, implementation & integration; 3.Responsible for algorithm design & implementation into production & silicon. Requirements: 1.Master degree or above, with more than 3 years’ working experience in image processing, pattern recognition, communication, signal processing, etc.; 2.Have been in charge of design & realization for core ISP algorithms (denoise, sharpen, interpolation, color management, etc.); 3.Solid skill in C/C++/python/matlab programming language, proficient in fast algorithm implementation & simulation. Experience in hardware/RTL-friendly c-model coding is preferred. Good knowledge of ISP processing pipeline architecture design & image quality tuning is preferred; 4.Proficient in camera application related algorithms (object detection, segmentation, image fusion, enhancement, etc.). Algorithm integration & optimization is preferred. Experience in camera related application of machine learning algorithms is preferred;

More info | Contact: Ryan.Su | Posted on: 2019-04-08 07:59:48 UTC

Machine Learning Engineer

DJI | Shenzhen, China

Responsibilities: 1.Developing perception algorithms in one of the following areas for robotics applications: 2D/3D object detection, multi-object tracking, segmentation, scene understanding and stereo geometry. 2.Developing algorithms for 3D object detection and tracking, multi-sensor fusion and state estimation. 3.Deploying and optimizing perception algorithms in embedded platforms with system software engineering team. Requirements: 1.Master degree in Computer Science, Electronic Engineering, Robotics or related field. 2.Fluency in C / C++. 3.Experience in developing machine learning algorithms for computer vision applications, such as object detection, tracking, segmentation, pose estimation. 4.Experience in developing perception algorithms for robotic applications, such as 3D vision, multi-view geometry, sensor fusion. 5.Strong publication records in top-tier conferences or journals.

More info | Contact: Ryan.Su | Posted on: 2019-04-08 07:58:59 UTC

Perception algorithm engineer

DJI | Shenzhen, China

Responsibilities:1. Responsible for developing and implementing perception algorithms based on lidar, camera, etc.2. Responsible for cutting-edge perception technology based on sensors such as lidar and camera Requirements:1. Master's degree or above with more than 3 years of related experiences 2. Strong programming skills, with C/C++/Python 3. Familiar with pattern recognition, computer vision, point cloud processing, multi-sensor data fusion, etc. Experienced in one of the followings: 1) Multi-sensor fusion and calibration based on lidar/IMU/monocular/stereo 2) Lidar point cloud preprocessing, object detection, tracking, scene understanding and segmentation 3) Object detection and recognition based on deep learning/machine learning algorithms, scene understanding, etc. 4. Good communication skills and teamwork skills, self-driven, problem positioning and analysis skills 5. Understand common visual processing platforms, experiences in FPGA/ASIC/DSP platforms visual algorithm implementation are preferred

More info | Contact: Ryan.Su | Posted on: 2019-04-08 07:58:04 UTC

Deep Learning for large-scale sub-metric 3D EO data

Postdoc (24 months) within CNES (French Space Agency, Toulouse, France, https://cnes.fr/en) & IRISA laboratory (https://www.irisa.fr/en) |

CNES is preparing with industry a future Earth Observation mission named CO3D (3D Optical Constellation) whose goal is to provide 3D data with sub-metric resolution and worldwide coverage. An image processing chain is currently being developed by CNES relying on the S2P software (https://github.com/MISS3D/s2p) to provide Digital Surface Models (DSM) and associated 3D point clouds from CO3D n-stereo images. Many partners have already expressed their interest for potential applications that could be derived from these 3D data (town and country planning, forest monitoring, glacier monitoring, etc.). In this context, CNES is offering a postdoc position to conduct an algorithmic study aiming at designing a downstream service that will rely on the 3D data provided by the operational processing chain and generate various products with higher semantics and level of detail (LOD) from a scale varying from LOD 1 to LOD 3 (http://www.gdmc.nl/publications/reports/GISt62.pdf). The main goal of the project will be to detect buildings from RGBZ data or 3D points clouds, using recent deep learning architectures, and giving a specific attention to : - Accurate spatial delineation of the detected buildings; - Dealing with occlusions (countries not seen from images provided as inputsto S2P); - Dealing with temporary objects perturbing the altimetric restitution; - Dealing with altimetric restitution errors specific to the EO acquisition system (errors due to sensors and atmospheric perturbations); - Robustness and performance analysis of the proposed algorithms; - Scalability study of the proposed algorithms. The postdoc hired on this project will then be asked to design and evaluate the processing chain, while bringing novel solutions based on recent developments in Deep Learning. The processing chain will be implemented and experimented on CNES HPC cluster. The postdoc will work within the DNO/OT/IS service (Earth Observation/Imaging & Sensing) from CNES in Toulouse, France. He/she will interact with other services within CNES, namely the services “Image Quality”(QI) for understanding the methods used in the upstream chain, and the “Earth Observation Lab” for understanding the specific needs from potential end-users of this downstream chain. From a scientific perspective, the supervision will be conducted jointly by CNES and by the OBELIX group (http://www.irisa.fr/obelix) within the IRISA research institute/ Universityof South Brittany (Vannes, France). The OBELIX group has a strong expertise in deep learning applied to remote sensing. Requirements : - PhD in computer science/ signal processing / applied maths - Proven expertise in machine learning / deep learning AND/OR computer vision AND/OR remote sensing (candidates with all skills will be preferred): convincing arguments should be provided in the cover letter - Programming skills (e.g. Python or C++) - Very good oral/written French or English communication abilities Scientific Supervision : Sébastien Lefèvre – sebastien.lefevre@irisa.fr – http://people.irisa.fr/Sebastien.Lefevre Referencessee https://scholar.google.fr/citations?user=C_8NI7IAAAAJ CNES Supervision : Pierre Lassalle – pierre.lassalle@cnes.fr and Simon Baillarin – simon.baillarin@cnes.fr To apply, send ASAP cover letter, CV& publications, academic transcripts & ranks, and references by email.

More info | Contact: Simon Baillarin | Posted on: 2019-04-08 04:05:01 UTC

Postdoc in Robotics, Machine Learning and Computer vision

KTH Royal Institute of Technology | Stockholm, Sweden

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Lunk for more details: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:259776/where:4/ Department of Robotics, Perception, and Learning Robotics, perception and learning department conducts research in the fields of computer vision, robotics, and machine learning. In the future, robotic systems that offer advanced service in the industry, search and rescue services, in medical applications or as assistants to the elderly will become an integral part of society, which means that research in this area is important and contributes with crucial knowledge. Job description The candidate is expected to conduct research in robotics/machine learning/computer vision at the highest international level, co-supervise Doctoral and master students. Qualifications We are looking for applicants with a strong academic background. Applicants must hold or be about to receive a doctoral degree in robotics/machine learning/computer vision. The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave). The applicant should have a strong background in robotics/machine learning/computer vision. The applicant should have an outstanding research and publication record. Well-developed analytical and problem-solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to present and publish research results. We will put great emphasis on personal qualities. Trade union representatives You will find contact information to trade union representatives at KTH's web page. Application Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time). Others Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization. Contact detail: danica Kragic dani@kth.se

More info | Contact: danica Kragic | Posted on: 2019-04-08 04:02:36 UTC

Senior Software Engineer（Computer Vision）

microsoft | Redmond, Washington, United States

In Cognition, people-not devices-are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together-whether that’s colleagues brainstorming around a giant digital whiteboard, scientists “meeting” on the surface of a virtual Mars, or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all devices, including Microsoft HoloLens, Windows Mixed Reality headsets, Kinect for Azure, the Internet of Things, Tablets, Desktops and more! We believe Mixed Reality technology empowers every person and organization to achieve more. If you do too, we need you! We are looking for a Senior Software Engineer to be responsible for design, implementation and optimization of innovative computer vision and AI algorithms for our upcoming products. Our team focuses on technologies related to image and video processing, camera calibration, computational photography, motion tracking and 3D reconstruction. Responsibilities  Partner directly with a team of diverse and talented peers across disciplines including design, hardware engineering, Program Management, and Software Engineering  Partner with the architects and the technical leadership team to deliver solid technical designs that satisfy requirements for multiple products and product families  Own accurate costing for your engineering activities and tracking your work from design through to completion  Execute with high accountability to schedule and quality  Participate actively in detailed design, code reviews, bug/issue triage with feature teams and support well informed decisions towards engineering, customer and business goals.  Maintain an unwavering focus on our customers, their problems and needs Qualifications  5+ years of relevant software design and development experience, preferably on shipped consumer products or platforms  Deep native development skills in C++ design and coding, with strong debugging skills  Experience with algorithms, mathematics, or statistics, particularly in fields related to computer vision or robotics  Experience with Computer vision, image processing, video processing, or computational photography, SLAM, Robotic Perception, Depth Cameras, Motion Tracking, Deep Learning  Outstanding technical problem solving and debugging ability  Excellent written and verbal communications skills  Proven experience collaborating across disciplines and broad teams  Self-motivated to learn and execute with attention to detail in documentation and execution  Ability to handle technical and design ambiguity  Proven experience working through the full product cycle from initial design to final product  A proven track record of shipping quality products on time  A BS, MSc or PhD in Computer Science or equivalent There are plenty of other skills that are not required, but you’ll find useful in this role. Let us know if you have experience with:  API design  Computer Graphics: GPU, DirectX, HLSL, D3D, D3D11, or OpenGL  Writing performance-critical code, experience with implementations using SIMD processor extensions (e.g. SSE/AVX/NEON)  Mobile, embedded systems, systems on a chip (SoC), including performance and memory management  Cameras in the mobile space, camera processing pipelines, ISP tuning, or image quality fundamentals Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-04-08 03:54:25 UTC

Senior Software Engineer(Computer Vision)

microsoft | Redmond, Washington, United States

More info | Contact: Prachi Mehrotra | Posted on: 2019-04-08 03:53:31 UTC

Software Engineer(Computer Vision)

microsoft | Redmond, Washington, United States

In Cognition, people—not devices—are at the center of everything we do. Our tech moves beyond screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s scientists “meeting” on the surface of a virtual Mars or some yet undreamt-of possibility. To get there, we’re incorporating diverse groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision, machine learning, human-computer interaction, and more. We’re a growing team of talented engineers and artists putting technology on a human path across all Windows devices, including Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, and Xbox. We believe there has to be a better way. If you do too, we need you! Responsibilities Research, improve, design, implement, bring-up, optimize, and validate cutting-edge human tracking algorithms on low-level, multicore systems Own the quality of your software Work in close partnership with a team of diverse and talented peers in various disciplines including Silicon, Hardware, Program Management and Quality teams Own accurate design and costing for your engineering activities Participate actively in detailed design, code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals Qualifications A BS, MSc or PhD in Computer Science or equivalent, advanced degree preferred 4+ years of relevant software design and development experience preferably on shipped consumer products or platforms Deep native development skills in C/C++ design and coding Proven experience working through the full product cycle from initial design to final product Outstanding technical problem solving and debugging skills Excellent optimization skills working in a multi-threaded environment Excellent written and verbal communications skills There are plenty of other skills that aren’t required, but you’ll find useful in this role. Let us know if you have experience with computer vision and/or machine learning. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

More info | Contact: Prachi Mehrotra | Posted on: 2019-04-08 03:52:20 UTC

Machine Learning Research Engineer Intern (Immediate Opening)

Adobe | San Francisco

We are building new machine learning platform, called Adobe Sensei, that powers machine learning and AI across Adobe Cloud product lines by enabling the world’s best creative tools, leading cloud services for managing digital assets and digital experiences and the leading marketplace such as Adobe Stock and Adobe Behance. This platform will enable thousands of applied researchers, millions of users, and billions of content pieces. Become part of this growing team at Adobe and a phenomenal impact in the area of computer vision, user understanding, language understanding, and digital experience optimization. The objective is to make machine learning offerings a world class, leading edge, differentiating product in Adobe Cloud ecosystem. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe. We are looking for PhD students with strong record of publications (CVPR, NIPS, ICCV, ...) to solve real world problems. You will have a chance to closely work with top engineers and researchers at Adobe.

More info | Contact: Saeid Motiian | Posted on: 2019-04-08 03:44:44 UTC

Research Scientist – Summer Intern

iCAD, Inc. | Nashua, NH or San Jose, CA

The Company: Headquartered in Nashua, NH, iCAD is a global medical technology leader providing innovative cancer detection and therapy solutions. iCAD’s solutions aid in the early detection of the most prevalent cancers including breast and prostate and colon cancer. For more information, visit www.icadmed.com. Position Description: The Research Scientist Summer Intern will assist the R&D team with multiple projects in the medical imaging domain using Deep Learning. Responsibilities: Support the design of image analysis and pattern recognition algorithms. Investigate and evaluate new algorithms. Skills/Qualifications: · Currently pursuing a Master’s or PhD degree in Computer Science, Electrical Engineering, Imaging Science, Machine Learning, Physics or equivalent. · Experience or knowledge in computer vision and machine learning. · Hands on experience with deep learning. · Excellent analytical, organizational and communication skills. For immediate consideration, please visit the iCAD career site @ https://www.icadmed.com/careers.html and apply online using the link below: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=44a90a50-1bab-4b89-b244-6953210a1a78&ccId=19000101_000001&jobId=286605〈=en_US&source=CC4

More info | Contact: Mary-Ellen Messer, Recruiter | Posted on: 2019-04-08 03:40:42 UTC

Research Engineer/Intern position

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE in the institute/organization line below the tile

Research Engineer/Intern position is available within the group of Prof. Shengcai Liao (https://liaosc.wordpress.com/) at the Inception Institute of Artificial Intelligence (IIAI)( http://www.inceptioniai.org/). Our main research directions include face/person detection/recognition/re-identification, and single-/multi-camera multi-target object tracking. The candidate will work directly under the supervision of a research associate.[Requirements] Strong programming skills (Python, C++, Matlab). Ability to use deep learning libraries (Tensorflow, Keras, PyTorch, Caffe, Caffe2) is a must. Proficiency in Python is highly desired. [Benefits] Extremely competitive package (tax-free salary). Powerful GPU farm with several hundreds DGX-1/DGX-2 servers. Comprehensive healthcare. Spectacular sea-view office. [Application] Please send an email to Irtiza Hasan (irtiza.hasan@inceptioniai.org) with the subject line [IIAI Position], including CV and links to your homepage/Google Scholar profile/Github or other profile with source codes developed by you. Applicants will be considered on a rolling basis.

More info | Contact: Irtiza Hasan | Posted on: 2019-04-04 08:29:20 UTC

Postdoc positions (2 vacancies)

Nanyang Technological University | Singapore

Postdoctoral Fellow (2 vacancies). Delta-NTU Corporate Laboratory is seeking outstanding candidates to work on visual recognition algorithms for smart manufacturing applications. Successful candidates will conduct research and develop advanced deep learning based algorithms for visual scene understanding. Requirements: 1. PhD degree in computer science/engineering. 2. Strong background knowledge on machine learning and computer vision applications. 3. Published papers in top-tier machine learning or computer vision conferences/journals. Interested candidates please emails your CV to Guosheng Lin (gslin@ntu.edu.sg) or Grace Hung (TZUYI.HUNG@deltaww.com).

More info | Contact: Guosheng Lin | Posted on: 2019-04-04 08:26:26 UTC

Postdoc Position in ‘Accurate and Scalable Processing of Big Data in Earth Observation’

Faculty of Electrical Engineering and Computer Science, Technische Universität Berlin | Germany

The selected Postdoctoral Fellow will develop innovative scientific research by strengthening and complementing the already ongoing research activities in the framework of the ERC-funded project: BigEarth - Accurate and Scalable Processing of Big Data in Earth Observation (http://bigearth.eu). Focus of this position will be on analysis of big data in Earth observation, satellite image search/retrieval from massive data archives, machine learning/deep learning. In addition, the candidate will be also asked to contribute to the education activities and to mentor students at the BS, MSc and PhD levels. For the details about the call, please visit: https://tub.stellenticket.de/de/offers/62418/

More info | Contact: Begüm Demir | Posted on: 2019-04-02 13:51:00 UTC

Research Scientist

iCAD, Inc. | Nashua, NH or San Jose, CA (open to candidates who are willing to relocate)

Position description Research and develop state of the art computer-aided detection and diagnosis algorithms in the medical imaging domain using Deep Learning. Responsibilities Design state of the art image analysis and pattern recognition algorithms. Investigate and evaluate new technologies. Collaborate with companies, research institutions and clinical sites. Create patent ideas and provide support for patent applications. Requirements R&D experience in the field of computer vision and machine learning. Knowledge of machine learning and deep learning research Experience with one or more of the following: Torch, TensorFlow, Theano, Caffe. Experience in the medical imaging industry. Experience in processing and analysis of 3D image data. Master’s/Ph.D. in Computer Science, Electrical Engineering, Imaging Science, Machine Learning, Physics or equivalent. Strong programming skills (C, C++, Matlab, Python). Proven publishing track record. Strong technical and leadership abilities. Excellent analytical, organizational and communication skills. Candidates with at least 5 years of experience will be considered for senior positions.

More info | Contact: Mary-Ellen Messer, Recruiter | Posted on: 2019-04-02 13:49:47 UTC

PhD Position in Machine Learning/Computer Vision/Medical Imaging Computing

Department of Computer Scienc of Colorado School of Mines |

Dr. Hua Wang at the Department of Computer Science of Colorado School of Mines is seeking outstanding candidates to fill 1-2 PhD student positions starting from Fall 2019 or Spring 2020 semester in the areas of Machine Learning and Data Mining, with their applications in Medical Image Computing, Health Informatics, Cheminformatics, and Bioinformatics. RA/TA positions will be provided in the Department of Computer Science at Colorado School of Mines. These research assistantships are to work with Dr. Wang towards Ph.D. degrees. The details of Dr. Hua Wang's research can be found at: http://www.mines.edu/~huawang/. Desirable applicants should have BS or above degrees in Computer Science, Mathematics, Electrical Engineering, Automation or other related fields, and strong motivation toward high quality research. All students will work with Dr. Wang on multidisciplinary research projects and publish papers on top journals and conferences (e.g. NIPS/ICML, CVPR/ICCV/ECCV, ISMB/Recomb ...). Interested candidates please send a CV and the transcripts of all degrees to Dr. Wang at huawang@mines.edu. Colorado School of Mines, Colorado's oldest public university is located in Golden, Colorado, in the foothills of the Rockies, 13 miles west of Denver. Mines has 4500 undergraduate students and 1200 graduate students in a broad range of applied science and engineering disciplines. The 2018 edition of U.S. News and World Report's America's Best Colleges rank Colorado School of Mines as the 75th in the category of Best National Universities, both public and private, and 29th in the category of Top Public Schools. According to the Wall Street Journal, Mines was the top-ranked public university for combining faculty accessibility and research prowess. The School's proximity to Denver Metropolitan Area provides opportunities for significant collaborations with government labs and industry as well as other universities. More information about the university and the department, including active research areas, can be found at http://mines.edu and http://cs.mines.edu.

More info | Contact: Hua Wang | Posted on: 2019-04-01 12:58:47 UTC

Postdoc in computer vision and/or machine learning

University of Alberta | Canada

The Vision & Learning Lab at the ECE Dept. University of Alberta, is inviting outstanding Postdoc candidates to join us. Further information about the PI, Dr. Li Cheng, can be found at https://www.ece.ualberta.ca/~lcheng5/. Potential candidates are requested to email their CVs (in PDF) to Li Cheng (li.cheng@ualberta.ca).

More info | Contact: Li Cheng | Posted on: 2019-04-01 12:57:02 UTC

Postdoc Position in Marker-less 4D Human Capture and Understanding / 3D Human Pose Estimation / Human Performance Capture (team behind VNect, MoFA, Deep Video Portraits...)

Max-Planck-Institute (MPI) for Informatics | Saarbruecken, Germany

This is a call for applications for a postdoc position in my research group Graphics, Vision & Video (gvv.mpi-inf.mpg.de) at the Max-Planck-Institute (MPI) for Informatics in Saarbruecken, Germany (www.mpi-inf.mpg.de). The GVV group looks at challenging open research problems at the intersection of computer vision, computer graphics and machine learning. We have pioneered methods in off-line and real-time marker-less motion and performance capture of humans, faces, hands and deformable objects, and have developed entirely new ways for efficient and high-quality inverse rendering. Very recent examples are the Deep Video Portraits face reenactment algorithm from SIGGRAPH 2018, the Face2Face face capture and reenactment approach from CVPR 2016, the MoFA - model-based face autoencoder from ICCV 2017, the VNect real-time monocular full-body motion capture approach (SIGGRAPH 2017), and the first approach for real-time intrinsic video decomposition (SIGGRAPH 2016). We generally look into pushing the boundaries of 3D / 4D scene reconstruction in general scenes, capturing for CG content creation, 3D video and telepresence, image-based rendering, and computational photography and videography. We develop new approaches for machine learning in vision and graphics in particular new ways for combining model-based and learning-based methods. With our research, we thus advance the algorithmic foundations behind augmented and virtual reality, and the perception capabilities of autonomous systems and vehicles. We are looking for a postdoc to work with us on advancing the state of the art in one of the following areas: high-quality in-the-wild marker-less 4D Human reconstruction and understanding / human 3D pose estimation / marker-less performance capture, and/or neural rendering of humans. In particular, we look into methods that only require a single camera, for instance based on new ways of deeply integrating machine learning – based and model-based algorithms. The postdoc should have experience in relevant areas of computer vision/graphics and machine learning. Applicants should have a strong research record in the above field(s), as demonstrated by publications in top tier conferences. A candidate should be fluent in written and spoken English (ideally documented by respective test scores) and be willing to travel. Full funding and benefits are provided. If you are interested, please send a complete application package, including a CV, a research statement, transcripts and certificates, and the contacts of two references to Prof. Dr. Christian Theobalt (theobalt -at- mpi-inf.mpg.de)

More info | Contact: Christian Theobalt | Posted on: 2019-03-30 16:28:29 UTC

Computer Vision Expert

Huawei Technologies Canada | Markham, ON, Canada

AI and Deep Leaning Based Computer Vision Expert Job Description Huawei Canada’s rapid growth has created an excellent opportunity to build and grow your career and make a big impact on everyone’s life! Our Toronto Research Centre is currently looking to hire a Computer Vision Expert on a full time basis. Skills and experience in Deep Learning based computer vision, algorithm design and software development are essential. We are looking for highly motivated Expert who will be specializing in Video Based Transportation Surveillance to join a strong and reputable team to work on cutting edge AI solutions for Huawei products. Responsibilities · The team’s focus is on Intelligent Transportation Systems (ITS) and related technology research and development. Areas of interest include transportation surveillance video analysis with Deep Learning (DL), traffic data analysis by AI, and traffic management and control by AI. · The candidate will design and develop state-of-the-art computer vision and deep learning algorithms for object detection/classification/tracking/segmentation, scene analysis, and localization. The objects include vehicles, scooters, cyclists, pedestrian and their relevant features. · Solving complex real-world challenges in creative, effective and efficient ways that lead to real world implementation. The challenges can be from crowded scenes, occlusion, low luminance (low light), strong light, and adverse weather conditions including rain, snow and fog. · The candidate will help reconstruct a comprehensive view of detection zones such as an intersection by 3D and video stitching technology. · Communicating and coordinating with relevant team (the China ITS engineering team and the ITS research team at the University of Toronto) during all phases of technology development and technology deployment. · Developing robust software and comprehensive testing protocol for all projects · Planning and managing time, tasks, milestones and resources to meet project objectives. · Solving unique problems and work on self-directed projects. Qualifications · Excellent hands on experience in: deep learning, convolutional neural networks, graph convolution networks, reinforcement learning and deep reinforcement learning is essential · Ability to design and fine-tune AI algorithms for computer vision · 5+ years’ industry software development experience. · Strong software program and debugging skills in C/C++, Java or Python. Deep knowledge of concurrent system development with multi-thread or multi-process. · Hands on experience with the application of computer vision analysis and AI in the field is required. · Hands on development experience of minimum one (two preferred) AI open-source frameworks: Tensorflow, Pytorch (Caffe2), Caffe and Theano. · Hands on development experience in Computer Vision open-source frameworks like OpenCV, FFmpeg, · Hands on development experience in Linux OS based software. Expertise with Shell, Makefile, docker · The candidate is required to have MS/PhD in Computer Science, Electrical Engineering or equivalent with a focus on Computer Vision and Machine Learning. · Deep expertise in one or more areas of Computer Vision, Deep Learning, 3D-Reconstruct, Video Stitching and Image Signal Processing. · Strong experience with software development. Experience in ITS related video analysis by AI is a Plus. We thank all applicants for their interest in career opportunities with Huawei. Only selected candidates will be contacted for an interview.

More info | Contact: Michelle Jiang | Posted on: 2019-03-30 16:27:21 UTC

PhD Position in Marker-less 3D Human Pose Estimation / Human Performance Capture / 4D Human Capture (team behind VNect, MoFA, Deep Video Portraits...)

Max-Planck-Institute (MPI) for Informatics | Saarbruecken, Germany

This is a call for applications for PhD positions in my research group Graphics, Vision & Video (gvv.mpi-inf.mpg.de) at the Max-Planck-Institute (MPI) for Informatics in Saarbruecken, Germany (www.mpi-inf.mpg.de). The GVV group looks at challenging open research problems at the intersection of computer vision, computer graphics and machine learning. We have pioneered methods in off-line and real-time marker-less motion and performance capture of humans, faces, hands and deformable objects, and have developed entirely new ways for efficient and high-quality inverse rendering. Very recent examples are the Deep Video Portraits face reenactment algorithm from SIGGRAPH 2018, the Face2Face face capture and reenactment approach from CVPR 2016, the MoFA - model-based face autoencoder from ICCV 2017, the VNect real-time monocular full-body motion capture approach (SIGGRAPH 2017), and the first approach for real-time intrinsic video decomposition (SIGGRAPH 2016). We generally look into pushing the boundaries of 3D / 4D scene reconstruction in general scenes, capturing for CG content creation, 3D video and telepresence, image-based rendering, and computational photography and videography. We develop new approaches for machine learning in vision and graphics in particular new ways for combining model-based and learning-based methods. With our research, we thus advance the algorithmic foundations behind augmented and virtual reality, and the perception capabilities of autonomous systems and vehicles. We are looking for PhD students to work with us on advancing the state of the art in one of the following areas: high-quality in-the-wild marker-less human 3D pose estimation / marker-less performance capture / 4D Human reconstruction and/or neural rendering of humans. In particular, we look into methods that only require a single camera, for instance based on new ways of deeply integrating machine learning –based and model-based algorithms. Applicants for PhD positions should have a Bachelor, preferably Master degree, in computer science or a closely related field. Course work and research experience in one or more of the following areas is desirable: computer vision, machine/deep learning, multi-view / 3D scene reconstruction methods, 4D reconstruction, computer graphics, computer animation, marker-less performance capture, marker-less motion capture, tracking algorithms, 3D Video, virtual / augmented reality.Applicants should have an excellent academic track record. Publications in one of the above areas are a plus. A candidate should be fluent in written and spoken English (ideally documented by respective test scores) and be willing to travel. Full funding and benefits are provided. If you are interested, please send a complete application package, including a CV, a research statement, transcripts and certificates, and the contacts of two references to Prof. Dr. Christian Theobalt (theobalt -at- mpi-inf.mpg.de).

More info | Contact: Christian Theobalt | Posted on: 2019-03-28 05:46:12 UTC

Computer Vision Engineer

Daimler Autonomous Services | Berlin

As humans we understand the complex intricacies of the world around us. We learn from our subjective as well as shared experiences. Now imagine a fleet in which each vehicle could understand their hyper local geography and share its learnings with the rest of fleet. In real time, updating the fleet command center about local traffic, construction, road conditions , safety and parking (curb intelligence). Shared curbside intelligence updates our mapping and routing capabilities to optimize fleet dispatch and autonomous vehicle (AV) enabled routing. With this our goal at Daimler Autonomous Services, we are building the future of urban mobility along with our partners at myTaxi and Car2Go. Our team would be at the forefront of building and deploying in vehicle image sensors, compute and running scene understanding algorithms on edge. Tasks • Research and build scene understanding pipelines using state of the art CV/ML • Optimize CV/ML models for on-edge compute to generate map updates • Collaborate with our routing/real-time/traffic team to build map-update pipelines • Help build a simulation environment for training/benchmarking our ML models • Research knowledge transfer in synthetic-to-real GANs • Vehicle localization against a 3D world map (real/simulated) • Work with mapping partners to build a data ingestion pipeline for large scale LiDAR and image datasets Skills • MS/Ph.D in computer vision/Graphics/Machine Learning/Robotics/Optimization or equivalent industrial experience • Advanced knowledge of computer vision and machine learning techniques such as CNNs, RNNs, Visual-SLAM, Reinforcement Learning and model compression. • Experience building production-level computer vision systems, preferably with Python or C++ • Experience with either TensorFlow, PyTorch, OpenCV or MXNet • Knowledge of or experience with LiDARs and cameras, OBD, SLAM, sensor fusion and computer vision on the edge would be a plus • Some prior experience with Kubernetes and Docker could be beneficial • A strong desire to learn, collaborate and mentor We offer: • Contributing to the future of a fast growing and sustainable company • A highly motivated international team • Attractive benefits such as mobility allowance, team events, company pension • Working autonomously with many possibilities to contribute your own ideas • Excellent infrastructure • Work and live in one of the most liveliest cities in Europe This is a full-time job

More info | Contact: Harsimrat Singh Sandhawlia | Posted on: 2019-03-28 05:45:04 UTC

Research Scientists/Engineers/Interns (Multiple)

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

Multiple research scientists/engineer/intern positions are available with the Inception Institute of AI. The Inception Institute of Artificial Intelligence (IIAI) is a national-scale organization of the UAE aiming for breakthroughs in fundamental and applied AI research. Research Scientist Positions: To succeed in this role, you should have the following skills and experience: • PhD in Computer Vision/Machine Learning. • Publications in top CV/ML venues (CVPR/ICCV/ECCV, NIPS/ICML/ICLR). • Ability to work independently or with a team and enjoy hands-on work on practical problems. • Experience with Python, MATLAB, C++, OpenCV and deep learning libraries (PyTorch/Tensorflow/Keras/Caffe). Engineer/Intern Positions: To succeed in this role, you should have the following skills and experience: • BS/MS degree in Computer Science for research internship or engineer role. • Experience building systems based on machine learning and deep learning methods. • Ability to work independently or with a team and enjoy hands-on work on practical problems. • Experience with Python, MATLAB, C++, OpenCV and deep learning libraries (PyTorch/Tensorflow/Keras/Caffe). • Desirable: Knowledge and hands-on skills in the areas of Object Detection, Classification, Segmentation, Tracking and/or Image Processing (restoration, super-resolution etc.) . APPLICATION: Please send the following material by email to Fahad Khan (fahad.khan@inceptioniai.org) with subject prefix "Application for IIAI Positions:" followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you. BENEFITS: Extremely competitive tax free salary. An extremely powerful GPU farm. Access to huge amounts of data across the country that can help you fulfill and fast track your research into real-world scenarios. An enjoyable modern working environment with spectacular sea-view. Contact name: Fahad Khan Contact email: fahad.khan@inceptioniai.org

More info | Contact: Fahad Khan | Posted on: 2019-03-28 05:43:44 UTC

Machine Learning Engineer

IPSY | San Mateo, CA, USA

Personalized Beauty Discovery Inc, ipsy, is an innovative fast-growing beauty company headquartered in San Mateo, CA. We are looking for a Machine Learning Engineer to join our machine learning and personalization team. You would be responsible for developing custom machine learning systems utilizing state-of-the-art learning algorithms from our comprehensive data sets, and guiding how those ML models impact our growing member base of several million. The ideal candidate is hands-on in ML algorithms and thrives in a fluid, high-performance entrepreneurial environment with a passion for learning and innovating -- strong knowledge of machine learning methods; successful track record of formulating problems into machine learned models for real-world settings; working knowledge of open source machine learning libraries, e.g. Scikit-learn, MLlib, TensorFlow, etc.; Masters or Ph.D. in Computer Science, Computer Engineering, Mathematics, or equivalent field; Strong overall programming ability

More info | Contact: ChiHoon Lee | Posted on: 2019-03-28 05:39:01 UTC

Machine Learning/ Deep Learning Engineer

Neva Innovation Labs Pvt Ltd. | Bangalore, India

Roles and Responsibility: Research: Understanding the problem statement and finding the state of the art solutions for the problem that work under the constraints of a real world application. Implementation: Implementing the architecture in one of ML or DL frameworks. We prefer scikit learn, tensorflow and pytorch. Training the model: Either from scratch or use transfer learning to get the best possible outcome. POC or product building: Building a scalable application in Python. Depending on the task, the application might interact with databases, sensors or external computing resources. Testing: Proper testing of the application to identify and address the edge cases. Competitiveness: Beating other teams at Fooseball, Cricket and pulling silly pranks. Some Perks: Ownership: Being a small team, you will have complete ownership of the task after you have proven your credentials. Exploration: You will get to play around with the entire ML/DL pipeline. Fun: You might get to take our car simulator out for a spin as part of your work. Wholesome working environment: You will get to work with some of the nicest people in the industry Requirements This position requires Passion for Data Science & Machine learning, detail-orientation, quick problem-solving skills, excellent interpersonal and communication skills. Does this describe you? You have an education in B.Tech / Computer Science or any other related field. Excellent teamwork skills, flexibility, and ability to handle multiple tasks You think through problems in both a quick time frame as well as a long term, permanent solution. Excellent analytical and problem-solving skills. You are a good team player with the ability to work independently as well in collaboration. Our Culture: We are Creatives, Thinkers, Rebels & a bunch of misfits. We believe in making a positive and meaningful impact on the future, through our cutting edge work. We are continuously creating Globally admired Deep Tech products and companies. Our company culture is collaborative, innovative, progressive, honest and fast. Here you will get to work with caring, flexible, and continually maturing family which is also a little chaotic at times. About Neva We are a full stack AI company focussing on Smart Mobility, Smart Spaces & Life Sciences. We cater to industries like healthcare, Mobile, Insurance, security, and hardware. We build products on some of the most advanced tech areas including autonomous systems, sensor fusion, telematics, ADAS, smart cities, medical devices, clean tech and more.

More info | Contact: Pavithra Ponnappa | Posted on: 2019-03-26 09:59:34 UTC

PhD Studentship in Computer Vision and Robotics at the University of Essex (United Kingdom)

University of Essex | UK

We are looking for a PhD student (3 years, full-time, well paid) who is able to join a dynamic team at the University of Essex, UK at the start of October 2019. The PhD topic is flexible around visual place recognition and SLAM. Interested? Please contact Dr Shoaib Ehsan (sehsan@essex.ac.uk).

More info | Contact: Dr Shoaib Ehsan | Posted on: 2019-03-26 09:57:05 UTC

Research Scientist

ObjectVideo Labs | Washington, DC Area

More info | Contact: Melissa Kalagher | Posted on: 2019-03-26 09:55:33 UTC

Machine Learning Engineer

ObjectVideo Labs | Washington, DC Area

Contribute to exciting and high visibility projects that will push the state-of-the-art in image and video understanding, computer vision, machine learning, deep learning, and data mining and reasoning. This will involve generation and evaluation of novel ideas, presentation of these ideas to peers and customers and participation in engineering these ideas for real-world systems. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research. The main job responsibility of the candidate will be working with computer vision scientists and engineers to develop, evaluate, and optimize machine learning and deep learning methods for a wide range of computer vision tasks, including face detection/verification/recognition; face-based liveness detection and anti-spoofing; moving object detection and tracking; object classification/recognition/identification; 3D reconstruction; activity detection and classification; and scene classification and segmentation. Candidate should be conversant with the latest development in deep learning for visual recognition and video analytics, including the latest deep model compression and optimization techniques for edge inference and training. The ideal candidate possesses an impressive educational background and work experience in using machine learning and deep learning to solve computer vision problems, and can demonstrate both the breadth and the depth of knowledge that is required to solve challenging problems in real-world scenarios.

More info | Contact: Melissa Kalagher | Posted on: 2019-03-26 09:54:18 UTC

Computer Vision Research Intern/Engineer/Scientist

Alibaba A.I. Labs | Hangzhou, China

We are seeking computer vision researchers/engineers/interns to work as part of an innovative and hands-on team at Alibaba A.I. Labs in Hangzhou, China. The candidates will be responsible for the following positions: 1. design and optimize deep learning algorithms for large-scale 3D sence object detection, recognition and segmentation; 2. enable the simultaneous mapping and accurately positioning of robotics in the high-definition maps; 3. design efficient navigation and control algorithms for a mobile robot in unknown and indoor environments. The candidates must have master or Phd degree in computer vision, robotics or related areas, 5+ years experience in C++, Python or Matlab programming. At least 6-month is required for the internship.

More info | Contact: Siyu Zhu | Posted on: 2019-03-25 05:08:06 UTC

3D Vision Research Intern/Engineer/Scientist

Alibaba A.I. Labs | Hangzhou, China

Position Summary: The candidate will become part of an innovative and hands-on team at Alibaba A.I. Labs that enables simultaneously and accurately navigating and positioning robotics in the high-definition maps. Experience Requirements: 1. Master or PhD in computer vision, robotics or related areas. 2. Strong background and understanding of optimization, multi-view geometry and computer vision related algorithms. 3. 5+ years experience in C++, Python or Matlab programming. 4. Hands-on experience with visual SLAM and multiple sensors (GPS/RTK/IMU/camera/Lidar/radar) for 3D scene localization is highly desirable.

More info | Contact: Siyu Zhu | Posted on: 2019-03-25 05:07:24 UTC

Machine/Deep Learning Research Intern/Engineer/Scientist

Alibaba A.I. Labs | Hangzhou, China

Position Summary: The candidate will become part of an innovative and hands-on team at Alibaba A.I. Labs that designs and optimizes deep learning algorithms for large-scale image/3D sence object detection, segmentation and classification. Experience Requirements: 1. Master or PhD in machine learning, computer vision, robotics or related areas. 2. Strong background and understanding of deep learning frameworks (Caffe, PyTorch, TensorFlow, etc.). 3. 5+ years experience in C++, Python or Matlab programming. 4. Hands-on experience with large-scale image or 3D scene object detection, segmentation and classification systems is highly desirable.

More info | Contact: Siyu Zhu | Posted on: 2019-03-25 05:06:41 UTC

Senior Engineer-Sensor Fusion

Mercedes-Benz Research & Development North America, Inc. | 309 N Pastoria Avenue, Sunnyvale, CA 94085

Embedded in a worldwide network Mercedes-Benz Research & Development North America, Inc. continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Costumer Research, and Business Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the E-Mobility Group helps to shape the future of the North American market for hydrogen fuel cell and battery electric vehicles. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center. Together, all the developers, technicians, engineers and designers take on the challenges of creating the next innovation. They’re inspired by the newest trends, find the best solutions for the customer, develop the latest and greatest technologies and create the next generation of connected, safe, sustainable and luxurious vehicles. Here at MBRDNA, we are looking for talented, energetic, and committed individuals to join our diverse team. Our employees are the key to our success, and we support each individual in fulfilling his or her potential. We proudly continue the pioneering work initiated by founders Gottlieb Daimler and Carl Benz over 125 years ago. Role Overview: Responsible for the development of algorithms and software for fusing the sensor data from Radar, Lidar, Cameras, etc., to create an accurate and comprehensive description of the driving environment. Key Tasks & Responsibilities : · Development of robust, real time sensor fusion algorithms for localization, object detection, classification and tracking. · Development of machine learning based sensor fusion, object and situation classification systems · Responsible for complex functional development for embedded platforms as part of the autonomous driving effort at MBRDNA. Technical guidance of interns and junior engineers · Development of quantitative evaluation and data visualization systems to evaluate the performance of the sensor fusion algorithms · Adapt algorithms developed by other departments for US-specific purposes, collaborate with other teams and transfer knowledge gained on advanced technology, and integrate software into the overall system through clearly defined interfaces · Develop engineering requirements and write documentation Qualifications: · Bachelors + 5 yrs. / Masters + 3 yrs. / PhD · Proven work experience with algorithm development and software development for sensor fusion and localization · Strong skills in the field of environment perception (Camera, RADAR, LIDAR) and hands-on experience with Driver Assistance Systems and vehicle prototyping Strong skills in Machine Learning techniques · Strong skills in Software Engineering and advanced programming skills in C/C++ and Python. Experience with real-time programming of embedded platforms and their operating systems · Ability to interact with remote locations over different time zones · Strong skills in data analysis and networking · Independent research with record of peer-reviewed publications on environment perception and senor fusion · Strong skills and proven experience in Software Engineering and programming in C/C++ and Python · Valid driver's license Preferred Qualifications: · Experience in modern software development methodologies · Experience in sensor fusion with radars, cameras and lidars · Experience with software development for embedded platforms · Experience with automotive data bus systems and components Together, all the developers, technicians, engineers and designers take on the challenges of creating the next innovation. They’re inspired by the newest trends, find the best solutions for the customer, develop the latest and greatest technologies and create the next generation of connected, safe, sustainable and luxurious vehicles. Here at MBRDNA, we are looking for talented, energetic, and committed individuals to join our diverse team. Our employees are the key to our success, and we support each individual in fulfilling his or her potential. We proudly continue the pioneering work initiated by founders Gottlieb Daimler and Carl Benz over 125 years ago. Role Overview: Responsible for environment perception algorithm development and software development skills for driver assistance systems and automated driving. The algorithm and software development will be especially in the field of environment perception using computer vision, LIDAR and radar. Key Tasks & Responsibilities : o Screen for state-of-the-art sensors and algorithms for environment perception, especially regarding cameras, LIDAR and radar; integrate sensors and test them; and contribute to the overall architecture design of in-vehicle systems. o Responsible for complex functional development as part of the autonomous driving effort at MBRDNA, including 4-way-stop assist and stop sign assist. o Collaborate with interns, scientific theses, and contractors. o Develop robust real-time algorithms for environment perception, especially for localization and complex functional purposes and develop algorithms that fuse the input from the various sensor systems for environment perception. o Adapt algorithms developed by other departments for US-specific purposes, collaborate with other teams and transfer knowledge gained on advanced technology, and integrate software into the overall system through clearly defined interfaces. o Develop engineering requirements and write documentation . Qualifications: · Bachelors + 5 yrs / Masters + 3 yrs / PhD · Proven work experience with algorithm development and software development · Strong skills in the field of environment perception (Camera, RADAR, LIDAR) and hands-on experience with Driver Assistance Systems and vehicle prototyping · Strong skills in Software Engineering and advanced programming skills in C/C++ and MATLAB/ Simulink. Experience with real-time programming of embedded platforms and their operating systems · Ability to interact with remote locations over different time zones · Strong skills in data analysis and networking · Independent research with record of peer-reviewed publications on environment perception and senor fusion · Proven experience with environment perception, camera systems, radars, and state-of-the-art algorithms for environment perception and localization · Experience in Software Engineering and programming in C/C++ and MATLAB/ Simulink · Valid driver's license Preferred Qualifications: · Experience in the development of real time software for embedded platforms, automotive ECUs, CAN controllers, and positioning systems · Experience with measurement framework including ADTF, automotive ECU A-samples, and automotive basic software frameworks (AUTOSAR) · Experience in sensor fusion with radars, cameras and LIDAR

More info | Contact: Charu Gupta | Posted on: 2019-03-25 05:05:12 UTC

Research Intern - Computer Vision and Deep Learning

HERE Technologies | Chicago, IL USA

HERE Technologies Chicago downtown office is looking for a candidate for upcoming summer internship, the role will be developing advanced deep learning technologies for multi-domain imagery data transfer learning or multi-modality sensor-fusion network for detection and classification. Some of the credentials we are looking for: PhD or MS in Computer Science or Electrical Engineering or related field 1+ year working experience with image processing/computer vision Hands on experience with deep learning frameworks for object detection/classification/semantic segmentation from imagery, lidar or multi-modality Fluent in Python Fluent in C++ on a Linux platform Experience with Pytorch, Tensorflow or other model training software Experience working with open source project/enterprise software is a plus. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics

More info | Contact: Xiang Ma | Posted on: 2019-03-25 05:03:40 UTC

Senior Research Engineers, Computer Vision (multiple positions)

Huawei, O-Lab | San Diego

This is an advert for multiple computer vision research positions. ● You will innovate, develop, advance, publish and patent computer vision solutions for object detection, semantic segmentation, motion tracking, depth estimation, 3D reconstruction, image enhancement (including super-resolution), event detection, visual positioning and pose estimation, SLAM, and other scene understanding tasks ● Integrate multi-modal information from multiple sensors, design visual location recognition systems that are robust to variations in the capture conditions and viewpoint changes ● Promote integration of CV, AI, CG and image processing technologies into a computer vision pipeline that will provide superior digital reality experience ● Optimize algorithms for on-device that use reduced memory and run in real-time ● Work with multiple 3rd Party SDKs to integrate computer vision algorithms, AR/VR tracking, and haptics applications to build showcase prototypes ● Publish best-paper quality papers at CVPR, ICCV, WACV, NIPS, ICML, SIGGRAPH, IROS, and similar venues ● Participate to win computer vision challenges ● PhD degree (or close to graduation) in computer vision ● Hands-on experience in deep learning and other machine learning methods ● Send inquiries directly to Prof. Fatih Porikli

More info | Contact: Prof. Fatih Porikli | Posted on: 2019-03-25 05:01:48 UTC

Machine Learning Scientist/Engineer

Adobe Inc | San Jose, CA

In the mission towards continuously addressing big technical challenges and exploring next-generation product opportunities, Adobe Emerging Product Group (EPG) is looking for self-motivated talent to fit in the position of Machine Learning Scientist/Engineer to help drive forward our mission. We are looking for candidates with strong programming skills in C/C++ and/or Python, strong passion for algorithm prototyping and product-level algorithm/system development. Experience on solving challenging real-world problems with machine learning, particularly in deep learning and/or reinforcement learning is a plus. Expertise in (at least) one of the following areas is a plus: Machine Learning/Deep Learning, Natural Language Processing, Computer Vision, System Design, Compiler, High-Performance Computing and etc. Experience on mobile app development is a plus.

More info | Contact: Xin Lu | Posted on: 2019-03-22 13:19:33 UTC

PhD Position - Surgery Simulation with AI - NRC Canada

NRC Canada / ETS Montreal | Montreal, Canada

NRC (National Research Council) & ETS Montreal has (1) opening for a PhD or Master's research project in the area of Surgical Simulation. The project aims to improve real-time surgery simulation by redefining finite element solvers. You will be developing a cutting-edge expertise on models derived from Machine Learning, Computer Vision, and Medical Imaging. The National Research Council of Canada is the primary government organization for research and technology, with a strong program on health technologies. ETS Montreal is one of Canada's Fastest-Growing Universities. It offers a thriving research environment to conduct state-of-the-art research in multiple areas. Both located in vibrant Montreal, you will experience a unique blend of North American and European culture. Competitive tax-free salaries can be toped up with generous awards and scholarships. Application should include a Statement of interest (why research, why Montreal?), and CV with names of two references - Forward to Dr David Rivest-Hénault (david.rivest-henault@cnrc-nrc.gc.ca) and Prof Hervé Lombaert (herve.lombaert@etsmtl.ca) - More at http://profs.etsmtl.ca/hlombaert

More info | Contact: Dr David Rivest-Hénault | Posted on: 2019-03-20 16:45:07 UTC

Postdoc in Deep Learning for Computational Pathology

Radboud University Medical Center | Nijmegen (Netherlands)

Diagnostic pathology involves microscopic evaluation of human tissues. Increasingly, microscopic images are digitized to support the diagnostic workflow. This rapidly growing field of digital pathology also yields ample opportunities for development of computer-aided diagnosis (CAD) algorithms. State-of-the-art deep learning methods have recently been proven capable of supporting the diagnostic work of pathologists and we have now reached the point where such algorithms can be implemented in a routine clinical setting. Furthermore, deep learning approaches have the potential to extract relevant information for the design of predictive and prognostic biomarkers, e.g., tumor-infiltrating lymphocytes, tumor-stroma ratio, etc. In the PROACTING project (funded by the Dutch Cancer Society (KWF)) we will develop deep learning algorithms that will leverage a large amount of data consisting of histopathology images and corresponding (weak) labels, with the aim of building computer systems that can assist pathologists and oncologists during cancer diagnostics and personalized (neoadjuvant) treatment procedures. This project will be performed in close collaboration with the Molecular Pathology research group of Jelle Wesseling at the Netherlands Cancer Institute. Requirements For this project the Computational Pathology Group of the Radboud University Medical Center, Nijmegen (The Netherlands), is seeking a Postdoctoral researcher with experience in development of deep learning models. This is an excellent opportunity to develop cutting-edge deep learning technology to have an impact on breast cancer research and personalized cancer treatment. You should be a creative and enthusiastic researcher with a PhD in a relevant field, such as medical image analysis, computer vision, or deep learning. You should have a clear interest to develop image analysis algorithms and an affinity with medical topics. Good communication skills, expertise in software development in Python, as well as expertise in deep learning model development using Tensorflow or Pytorch are essential. Conditions of employment Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center's HR Department will apply for this certificate on your behalf. Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands. Employer The Computational Pathology Group The Computational Pathology Group is a research group of the department of Pathology of the Radboud University Medical Center (Radboudumc). We are also part of the cross-departmental Diagnostic Image Analysis Group (DIAG) at Radboudumc, with researchers in the departments of Radiology and Nuclear Medicine, Pathology and Ophthalmology. We develop, validate and deploy novel medical image analysis methods, usually based on deep learning technology and focusing on computer-aided diagnosis (CAD). Application areas include diagnostics and prognostics of breast, colon, prostate and lung cancer. Our group is among the international front runners in the field, witnessed for instance by the highly successful CAMELYON16 and CAMELYON17 grand challenges which we organized. The clinical partner in the PROACTING project is the Dutch National Cancer Institute (Nederland Kanker Institute, NKI) in Amsterdam, which is the biggest cancer research center in the Netherlands. Radboudumc Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy. Read more about what it means to work at Radboudumc and how you can do your part.

More info | Contact: Dr. Francesco Ciompi | Posted on: 2019-03-20 16:40:16 UTC

Postdoc / PhD - Geometry in Medical Image Analysis

ETS Montreal | Montreal, Canada

ETS Montreal has openings for (1) Postdoc and (2) PhD positions at the intersection of Computer Vision, Machine Learning and Medicine. Topics range from modeling to exploiting geometry in medical imaging. You will discover new geometrical aspects of anatomy, diseases and various biological phenomena. ETS Montreal is one of Canada's Fastest-Growing Universities. It offers a thriving research environment to conduct state-of-the-art research in multiple areas. Located in vibrant Montreal, you will experience a unique blend of North American and European culture. Competitive tax-free salaries can be toped up with generous awards and scholarships. Application should include a Statement of interest (why research, why Montreal?), and CV with names of three references - Forward to Prof Hervé Lombaert (herve.lombaert@etsmtl.ca) - More at http://profs.etsmtl.ca/hlombaert

More info | Contact: Prof Hervé Lombaert | Posted on: 2019-03-19 07:12:03 UTC

Research Intern | Computer Vision and Deep Learning

Cognitifai | Bangalore, India

Cognitifai is a research first start-up working on building state of the art vision AI platform. Cognitifai is funded by VC firms from USA. The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few. This provides the most diverse platform for clients to build their AI strategies across different business units with varied problems that could be solved with vision. With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries. Most of our current clients are Fortune 30-500 companies in their respective industries which brings in a lot of credibility and exposure to real and challenging problems to solve. We currently have multiple openings across various levels and specifically we're looking to hire Research Interns who have expertise in the field of Computer Vision and Artificial Intelligence. In specific, we are looking for interns to work on some of our challenging problems including Multi-label Classification, Face recognition and retrieval, License Plate recognition in surveillance scenario. Qualifications: BE/BTech/MS/MTech degree in Computer Vision, Deep Learning or related field; Experience with Python, C++, and deep learning frameworks (PyTorch/Tensorflow/Caffe/Caffe2); Strong basics in Linear Algebra, Probability and Statistics, Computer Vision, Deep Learning,Image Processing; Publications in any one of the top rated conferences and journals like CVPR,ICCV,ICML,NIPS,IJCAI,BMVC,ECCV,TPAMI,IJCV,TIP,TIFS etc. is an added advantage. What you get? : Worlds most diverse and valuable data for video intelligence which even top technology companies dont have access to. (You know how critical it is in solving lot of vision problems). Strong open research culture and publication encouragement. Good remuneration and perks for publication and patents. Work on problem statements that directly impact millions of lives of people around you in your own cities. You get to pick problem statement of interest to you from the pool.

More info | Contact: hiringcognitifai | Posted on: 2019-03-19 07:08:07 UTC

Research Engineer | Computer Vision and Deep Learning

Cognitifai | Bangalore, India

Cognitifai is a research first start-up working on building state of the art vision AI platform. Cognitifai is funded by VC firms from USA. The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few. This provides the most diverse platform for clients to build their AI strategies across different business units with varied problems that could be solved with vision. With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries. Most of our current clients are Fortune 30-500 companies in their respective industries which brings in a lot of credibility and exposure to real and challenging problems to solve. We currently have multiple openings across various levels and specifically we're looking to hire Research Engineers who have expertise in the field of Computer Vision and Artificial Intelligence. As a Research Engineer you will be responsible to implement and evaluate novel computer vision and AI solutions for our different algorithms. Qualifications: MS/MTech degree in Computer Vision, Deep Learning or related field; Experience with Python, C++, and deep learning frameworks (PyTorch/Tensorflow/Caffe/Caffe2); Strong basics in Linear Algebra, Probability and Statistics, Computer Vision, Deep Learning,Image Processing; Publications in any one of the top rated conferences and journals like CVPR,ICCV,ICML,NIPS,IJCAI,BMVC,ECCV,TPAMI,IJCV,TIP,TIFS etc. What you get? : Worlds most diverse and valuable data for video intelligence which even top technology companies dont have access to. (You know how critical it is in solving lot of vision problems). Strong open research culture and publication encouragement. Good remuneration and perks for publication and patents. Work on problem statements that directly impact millions of lives of people around you in your own cities. You get to pick problem statement of interest to you from the pool.

More info | Contact: hiringcognitifai | Posted on: 2019-03-19 07:07:13 UTC

Research Scientist | Numerical optimization and Neural Network Pruning

Cognitifai | Bangalore, India

Cognitifai is a research first start-up working on building state of the art vision AI platform. Cognitifai is funded by VC firms from USA. The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few. This provides the most diverse platform for clients to build their AI strategies across different business units with varied problems that could be solved with vision. With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries. Most of our current clients are Fortune 30-500 companies in their respective industries which brings in a lot of credibility and exposure to real and challenging problems to solve. We currently have multiple openings across various levels and specifically we're looking to hire Research Scientists who have expertise in the core field of Numerical Optimization, Computer Vision and Artificial Intelligence. As a Research Scientist you will be responsible to design, implement and evaluate novel solutions for neural networks pruning which can reduce the heavy inference cost of deep models with a trade-off on performance. Qualifications: PhD degree in Computer Vision, Deep Learning or related field; Experience with Python, C++, and deep learning frameworks (PyTorch/Tensorflow/Caffe/Caffe2); Strong basics in Linear Algebra, Probability and Statistics, numerical optimization,3D Geometry; Strong record of publication in top rated conferences and journals like CVPR,ICCV,ICML,NIPS,IJCAI,BMVC,ECCV,TPAMI,IJCV,TIP,TIFS etc. What you get? : Worlds most diverse and valuable data for video intelligence which even top technology companies dont have access to. (You know how critical it is in solving lot of vision problems). Strong open research culture and publication encouragement. Good remuneration and perks for publication and patents. Work on problem statements that directly impact millions of lives of people around you in your own cities. You get to pick problem statement of interest to you from the pool.

More info | Contact: hiringcognitifai | Posted on: 2019-03-19 07:06:11 UTC

Research Scientist | Camera Calibration and Scene Understanding

Cognitifai | Bangalore, India

Cognitifai is a research first start-up working on building state of the art vision AI platform. Cognitifai is funded by VC firms from USA. The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few. This provides the most diverse platform for clients to build their AI strategies across different business units with varied problems that could be solved with vision. With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries. Most of our current clients are Fortune 30-500 companies in their respective industries which brings in a lot of credibility and exposure to real and challenging problems to solve. We currently have multiple openings across various levels and specifically we're looking to hire Research Scientists who have expertise in the core field of Computer Vision and Artificial Intelligence. As a Research Scientist you will be responsible to design, implement and evaluate novel computer vision solutions for Camera Calibration and Scene Understanding in real world surveillance scenario. Qualifications: PhD degree in Computer Vision, Deep Learning or related field; Experience with Python, C++, and deep learning frameworks (PyTorch/Tensorflow/Caffe/Caffe2); Experience with stereo geometry based topics and 3D rendering; Strong record of publication in top rated conferences and journals like CVPR,ICCV,ICML,NIPS,IJCAI,BMVC,ECCV,TPAMI,IJCV,TIP,TIFS etc. What you get? : Worlds most diverse and valuable data for video intelligence which even top technology companies dont have access to. (You know how critical it is in solving lot of vision problems). Strong open research culture and publication encouragement. Good remuneration and perks for publication and patents. Work on problem statements that directly impact millions of lives of people around you in your own cities. You get to pick problem statement of interest to you from the pool.

More info | Contact: hiringcognitifai | Posted on: 2019-03-19 07:03:39 UTC

Research Scientist | Pose Estimation and Action Recognition

Cognitifai | Bangalore, India

Cognitifai is a research first start-up working on building state of the art vision AI platform. Cognitifai is funded by VC firms from USA. The platform possesses algorithms across 15+ areas of interest in vision ranging from real world, hardware efficient robust object detection, object recognition, multi-camera multi-object tracking, action recognition, event recognition, pose estimation, gesture, gait recognition, crowd analysis, behaviour analysis etc to name a few. This provides the most diverse platform for clients to build their AI strategies across different business units with varied problems that could be solved with vision. With the diversity in our vision AI capabilities, we address a range of industries such as smart city, surveillance, retail, transportation etc and potential to address 12+ industries. Most of our current clients are Fortune 30-500 companies in their respective industries which brings in a lot of credibility and exposure to real and challenging problems to solve. We currently have multiple openings across various levels and specifically we're looking to hire Research Scientists who have expertise in the field of Computer Vision and Artificial Intelligence. As a Research Scientist you will be responsible to design, implement and evaluate novel deep learning solutions for human pose estimation and activity recognition in real world surveillance scenario. Qualifications: PhD degree in Computer Vision, Deep Learning or related field; Experience with Python, C++, and deep learning frameworks (PyTorch/Tensorflow/Caffe/Caffe2); Experience with Bayesian Optimization is appreciated; State-of-the-art results on any benchmark databases in their research (preferably anyone of COCO/MPII/UCF/HACS/YOUTUBE-8M/AVA etc); Strong record of publication in top rated conferences and journals like CVPR,ICCV,ICML,NIPS,IJCAI,BMVC,ECCV,TPAMI,IJCV,TIP,TIFS etc. What you get? : Worlds most diverse and valuable data for video intelligence which even top technology companies dont have access to. (You know how critical it is in solving lot of vision problems). Strong open research culture and publication encouragement. Good remuneration and perks for publication and patents. Work on problem statements that directly impact millions of lives of people around you in your own cities. You get to pick problem statement of interest to you from the pool.

More info | Contact: hiringcognitifai | Posted on: 2019-03-19 07:01:39 UTC

Research Internship (PhD University Student)

Hikvision Research America | Santa Clara, USA

Hikvision is a world leading IOT solution provider, with computer vision as core technology. There is an immediate opening for a deep learning and computer vision research internship position at Hikvision Research Institute, Santa Clara, USA. We address a wide variety of computer vision problems and have a strong publication record in leading journals and conferences. Ideal candidates for this position have publications at conferences such as ICCV, CVPR, ICML, NIPS, etc. As a research intern at Hikvision, you will have the opportunity to develop new ideas for academic publication. The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems. Interested candidates should directly email a CV to Jianwen.Xie@hikvision.com.

More info | Contact: Jianwen Xie | Posted on: 2019-03-17 15:14:35 UTC

Computer Vision Scientist / Engineer - Autopilot

Tesla Autopilot | Bellevue WA & Palo Alto, CA

As a member of the Autopilot team, you will research, design, implement, optimize and deploy models and algorithms that advance the state of the art in autonomous driving. You will Develop state-of-the-art algorithms in multi-sensor fusion, visual-inertial odometry, GPS, IMU and radar processing, intrinsic/extrinsic camera calibration, structure from motion. Devise visualization, debugging, ground truth and simulation tools to enable algorithm validation. Optimize algorithmic code to run efficiently on an embedded device. Integrate embedded code with the larger Tesla Autopilot development team to introduce new features and capabilities to Tesla’s vehicles.

More info | Contact: Jordan Hollinger | Posted on: 2019-03-17 15:12:54 UTC

Systems Software Engineer - Autopilot Computer Vision

Tesla Autopilot | Palo Alto, CA

As a Systems Software Engineer within the Autopilot Computer Vision group, you will have the opportunity to apply your technical skills on the development of the Computer Vision software pipeline. You will work together with vision and machine learning scientists on productizing the Vision stack, improving its performance and robustness on a range of embedded platforms. You will write tests and integrate with our simulation pipeline, to ensure the system and functional stability of our stack.

More info | Contact: Ramona Chandran | Posted on: 2019-03-17 15:12:09 UTC

Machine Learning Scientist – Autopilot

Tesla Autopilot | Palo Alto, CA

As a member of the Autopilot Vision team you will research, design, implement, optimize and deploy models and algorithms that advance the state of the art in autonomous driving. You will train machine learning and deep learning models on a computing cluster to perform visual recognition tasks, such as segmentation and detection. Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, etc.

More info | Contact: Chris Kelbaugh | Posted on: 2019-03-17 15:11:30 UTC

Post-doctoral Research Scientist

Rochester Institute of Technology | Rochester, NY, USA

Two research scientist positions available at Rochester Institute of Technology - Golisano College of Computing and Information Sciences. The research scientists will primarily work in the areas of AI/machine learning and are primarily responsible for developing advanced machine learning models to support complex decision-making. The positions will allow the candidates to further grow their expertise in AI/machine learning or related areas by working on important data analytics problems in specialized domains, building a strong publication record. The positions will also enable the candidates to interact with a large team of PhD/MS students in Dr. Qi Yu’s research group (http://www.ist.rit.edu/~qyuvks/) as well as domain experts through multiple research projects.

More info | Contact: Dr. Qi Yu | Posted on: 2019-03-17 15:06:31 UTC

Postdoctoral associate (UVa): imaging and data science

University of Virginia | Charlottesville, Va, USA.

The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others. The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics. Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g. papers, patents, presentations, etc), and have the ability to implement computer algorithms. To apply, visit https://jobs.virginia.edu/applicants/Central?quickFind=84835. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.

More info | Contact: Gustavo K. Rohde | Posted on: 2019-03-17 15:05:09 UTC

PhD Position in Deep SLAM

Robotics and Autonomous Systems, CSIRO Data61 | Brisbane, Australia

Description of the Job: Simultaneous Localization and Mapping (SLAM) is a key enabling component of driverless vehicles, robotics and augmented reality. The SLAM goal is to estimate pose of the vehicle and simultaneously generate dense 3D scene reconstruction. At CSIRO we have developed and deployed state-of-the-art 3D LiDAR-based SLAM systems for the past decade. There is a new direction of research at the intersection of deep learning and geometry-based 3D SLAM. The research in this PhD programme will develop algorithms for geometry-based Deep Learning SLAM in a dynamic and unstructured environment. The PhD programme will involve the development of self or semi-supervised learning methods to address the significant weakness of most current deep networks. Deadline is 20th March.

More info | Contact: Peyman Moghadam | Posted on: 2019-03-13 14:35:28 UTC

PhD Position in Hyperspectral Deep Learning

Robotics and Autonomous Systems, CSIRO Data61 | Brisbane, Australia

Description of the Job: Hyperspectral cameras are currently undergoing a change from bulky and expensive equipment towards mobile and portable devices. A hyperspectral camera comprises of hundreds of bands with shortwave dependencies. Compared to conventional colour cameras (RGB bands), one could use these shortwave dependencies to design and develop a deep network for object classification, semantic segmentation and scene understanding. Both spectral and spatial relationship needs to be modelled by the deep networks simultaneously. The research in this PhD programme will develop algorithms for hyperspectral deep learning. The PhD programme will involve the development of learning with self-supervision algorithms to address the significant weakness of most current deep networks. Deadline is 20th March.

More info | Contact: Peyman Moghadam | Posted on: 2019-03-13 14:34:28 UTC

Research Intern Positions Deep Learning For Robotics

Robotics and Autonomous Systems, CSIRO Data61 | Brisbane, Australia

Description of the Job: Do you want to work for two of the world's leading research organisations, live in a city with extremely high standard of living, enjoy pristine beaches and sun all year round, and still carry out ground breaking Machine Learning, Robotics research to solve real-world challenges? If so, this position is for you. There is a new direction of research at the intersection of deep learning and Robotics. The research will develop algorithms for geometry-based Deep Learning algorithms in a dynamic and unstructured environment. The research will involve the development of self or semi-supervised learning methods to address the significant weakness of most current deep networks, lack of labelled data. We will also investigate introduction of Bayesian deep learning to understand and model uncertainty to improve safety for real world applications.

More info | Contact: Peyman Moghadam | Posted on: 2019-03-13 14:33:25 UTC

Senior Perception Engineer

Aeva, Inc. | Mountain View, CA

Aeva develops a new sensing & perception paradigm for autonomous machines. Aeva's technology brings together the best of vision, depth & motion sensors into a single product with superior performance. Compared to today's best in class, it provides greater range & resolution across weather conditions and a new dimension to precisely measure velocity of every pixel in the scene. We are looking for a Perception Software Engineer with experience developing DNN algorithms including CNNs (Convolutional Neural Networks) for feature detection and classification across a variety of perception sensing inputs. You will help with architecture definition, design, development and validation of our core perception software algorithms. You will have the opportunity to research & develop superior new algorithm architectures made possible only with our new & unique data streams. What you'll do · As a Lead Perception Software Engineer, you will design, develop & validate robust DNN algorithms for detection & recognition of features based in multiple sensing inputs · You will work with entirely new input dimensions that are yet to exist and will develop algorithms for such new inputs · Maintain comprehensive and accurate architecture & design documentation · Help build a world-class AI team What you have · Solid experience and proven track record with developing & deploying DNN algorithms on robots systems including CNNs & RNNs · Experience developing perception software algorithms with vision and point cloud inputs · Fluent in Python and C/C++ · Strong foundations in mathematics & statistics · Exceptional ability to break-down and present complex problems to small audiences Nice-to-haves · Basic fundamentals understanding of Digital Signal Processing · Experience working with ROS · Experience with object motion & tracking algorithms · Experience with classical computer vision techniques What's in it for you · Be part of an early start-up that's backed by industry leading venture capitalists · Very competitive compensation and meaningful equity! · Exceptional benefits: Medical, Dental, Vision, and more! · Unlimited PTO: We care about results, not punching timecards · Paid lunches, ping pong tournaments, and fun team off-sites!

More info | Contact: Melanie Waters | Posted on: 2019-03-12 12:52:25 UTC

Research Intern, Deep Learning, Image Synthesis for AR/VR (PhD University Student)

Facebook Reality Labs |

Facebook Reality Labs (FRL) are a world leader in the design of virtual and augmented reality systems. We are currently seeking innovative research interns with a passion for technology to develop next-generation head-mounted display and imaging systems at our research location in Redmond, WA. These roles are focused on developing advanced image synthesis methods for virtual and augmented reality systems. In particular we welcome PhD students in computer science, applied math, electrical engineering, or similar, with a strong background in machine learning, numerical optimization, computer graphics and computer vision. Our internships are sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:42:05 UTC

Research Intern, Hand Tracking (PhD University Student)

Facebook Reality Labs |

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Great virtual reality technology depends on advances in computer vision and machine learning. As an intern at Facebook Reality Labs, you will get an opportunity to make in impact on one of our most exciting and challenging efforts aimed at providing immersive human presence and interaction. You will apply advanced computer vision and machine learning techniques to solve problems at the forefront of virtual reality. The ideal candidate is pursuing a PhD in computer vision, machine learning, or statistic and is passionate about enhancing the user experience in virtual reality. This internship is sixteen to twenty-four weeks long and we have various start dates throughout the year.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:41:24 UTC

Computer Vision Engineer, (PhD University Grad)

Facebook |

The Oculus team at Facebook builds the VR hardware and platform to let you experience anything, anywhere, with anyone. Additionally, Facebook has teams dedicated to building social experiences in VR that make it easier to spend time with your friends, wherever they are. Virtual reality’s potential to connect the world is immense—and we’re just getting started. Oculus Research is driving the state of the art forward with breakthrough work in computer vision, advanced optics, eye tracking, mixed reality, and new ways to map the human body. Oculus is seeking a talented Computer Vision Engineer to solve new and emerging vision problems in VR. The Oculus Vision team applies a range of software, computer vision and machine learning techniques to build products that enable new ways for people to connect and share experiences. Our team is addressing a variety of technical challenges in the areas of advanced optics, real-time image processing, depth sensing, SLAM, sensor fusion, 3D reconstruction and human interaction in the form of hand/face/eye tracking. We're looking for candidates who share a passion for exploring and solving complex, unsolved problems at the intersection of computer vision and VR. Open positions are based in Menlo Park, Sausalito, Redmond and Zurich.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:40:49 UTC

Software Engineer Intern, Computer Vision (Masters/PhD University Student)

Facebook |

Great virtual reality technology depends on advances in computer vision and machine learning. As an intern at Oculus, you will get an opportunity to make an impact on one of our most exciting and challenging efforts aimed at providing immersive human presence and interaction. You will apply advanced computer vision and machine learning techniques to solve problems at the forefront of virtual reality. The ideal candidate is pursuing a PhD in computer vision, machine learning, or graphics and is passionate about enhancing the user experience in virtual reality.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:40:11 UTC

Software Engineer (PhD University Grad)

Facebook |

Computer Vision is a key ingredient in developing great virtual reality technology. We are currently seeking exceptional engineers with a proven track record in a computer vision (e.g., segmentation, detection, recognition, tracking, SLAM, visual-inertial odometry, structure from motion and/or 3D reconstruction) to join our Computer Vision team in Zürich. As a computer vision engineer at Oculus, you'll be solving challenges at the forefront of computer vision that transform virtual reality from dream to reality. We're looking for a creative engineer to usher in the next era of human-computer interaction by solving hard and exciting computer vision problems. The position requires a PhD in computer science, robotics, computer engineering, or similar areas, and a strong background in software development, modeling, analysis, and system building.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:39:15 UTC

Computer Vision Research Engineer (PhD University Grad)

Facebook Reality Labs |

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Oculus Research is looking for world-class research engineers with interest in developing real-time computer vision systems to take human computer interaction to the next level in our research location in Redmond, WA and Menlo Park, CA. The focus of this role is on computer vision, machine learning and physically-based modeling as applied to tracking hand pose and interactions with real and virtual objects. The successful candidate must be an exceptional C/C++ software engineer with a solid understanding of applied mathematics and numerical optimization as used in computer vision, robotics, and computer graphics. They will drive cutting-edge and performance-sensitive systems that incorporate the latest innovations in deep learning and computer vision.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:38:13 UTC

Research Intern, Machine Perception and Learning (PhD University Student)

Facebook Reality Labs |

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook Reality Labs (FRL) brings together a world-class, cross-discipline R&D team with the shared goal of developing the next generation of AR and VR technologies. The Surreal Vision team is looking for the next generation of scientists and engineers to tackle the most ambitious problems in machine perception at our research location in Redmond, WA. The focus of this internship project lies in formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision, reconstruction, object-tracking, human-pose-tracking and large-scale online inference and optimization. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:37:30 UTC

Research Intern, 3D Computer Vision & State Estimation (PhD University Student)

Facebook Reality Labs |

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Facebook Reality Labs (FRL) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal Vision research group at FRL is looking for the next generation of scientists and engineers to solve the research challenges on the path to building future machine perception enabled technologies. The aim of this internship project is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, sensor fusion, structure from motion, visual odometry, sensor/display calibration, 3D reconstruction and relocalization. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:36:47 UTC

Research Intern, Eye and Face Tracking (PhD University Student)

Facebook Reality Labs |

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Oculus Research Redmond is looking for exceptional interns to help create the next generation of virtual and augmented reality. Our research focuses on true solutions to complex tracking problems, delivering novel technologies and algorithms fundamental to future VR and AR systems. You’ll have the unique opportunity to work with industry-leading researchers and engineers who are defining the future of VR. Our research topics include (but are not limited to) the following areas: Computer vision and machine learning, with an emphasis on tracking eyes and/or faces Geometric modeling and non-linear optimization for tracking or compact representation of high-dimensional functions. Photometric reconstruction of eyes and faces using advanced capture and rendering techniques Statistical modeling of oculomotor systems and sensor fusion algorithms Eye movement prediction and perceptual control loops In particular, we welcome candidates who strive for a deep understanding of complex systems, and a strong desire to push beyond state-of-the-art. We also welcome students with a passion for working in a strongly collaborative team that spans research across algorithms, hardware design and systems prototyping.

More info | Contact: Recruiting | Posted on: 2019-03-10 01:36:03 UTC

Senior Software Engineer in Geometric Modeling

Monogram Orthopaedics | Brooklyn, NY

Monogram Orthopaedics is looking for a software engineer with experience in computational geometric modeling to join our very small but motivated team of engineers bringing a new medical device to market. The company is located in Brooklyn, NY and offers a competitive salary with equity options and generous benefits. Job Duties: ● Development of algorithms to generate 3D surfaces subject to spatial and geometric constraints. ● Work collaboratively with project managers and a team of engineers on designing application-specific solutions in shape modeling problems. ● Utilize and/or customize existing large frameworks and code in disparate technology disciplines. Required Education and Experience: ● Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, or any related field. Skills Required: ● Proficiency (2-6 years) in Python and C++. ● Must be comfortable with linear algebra and differential geometry. ● A love of computer graphics and computational shape modeling. ● Experience working with polygon meshes (triangulated STLs preferred) and NURBS surfaces. ● Self-motivated, driven, able to work independently, with an interest in working at a small startup. ● Ability and desire to collaborate with colleagues on interesting and challenging problems outside of geometric modeling and programming. ● Experience with collaborative development best practices and source control (git). ● Excellent writing and communication skills. Desired Skills: ● Experience with open-source mesh processing frameworks (VTK, CGAL, OpenCASCADE etc.). ● Experience with CAD kernels (OpenCascade, ASIS, etc.). ● Experience with procedurally modeling shapes. ● Experience developing algorithms in geometry processing (mesh smoothing, deformation, etc.). ● Experience in image processing a plus. ● Experience in WebGL or higher-level 3D frameworks (BabylonJS, Three.JS) a plus. ● Experience with medical devices or computational biomedicine a plus.

More info | Contact: Benjamin Sexson | Posted on: 2019-03-10 01:34:25 UTC

Senior Software Engineer in Computer Vision

Monogram Orthopaedics | Brooklyn, NY

Monogram Orthopaedics is looking for a software engineer with experience in image processing and/or computer vision to join our very small but motivated team of engineers bringing a new medical device to market. The company is located in Brooklyn, NY and offers a competitive salary with equity options and generous benefits. Job Duties: ● Development of algorithms to perform feature detection and segmentation of large medical image datasets using explicit or implicit (e.g. CNNs) methods. ● Work collaboratively with project managers and a team of engineers on designing application-specific solutions in shape modeling problems. ● Utilize and/or customize existing large frameworks and code in disparate technology disciplines. Required Education and Experience: ● Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, or any related field. Skills Required: ● Proficiency (2-6 years) in Python and C++. ● 2+ years of experience in image processing or computer vision. ● Experience with a machine learning framework (TensorFlow preferred). ● Ability to work with (e.g. set up validation experiments, perform training) with large image datasets. ● High comfort with linear algebra and differential geometry. ● Experience with collaborative development best practices and source control (git). ● Excellent writing and communication skills. ● Self-motivated, driven, able to work independently, with an interest in working at a small startup. Desired Skills: ● Experience with medical image analysis a plus. ● Experience with CAD or geometric modeling a plus. ● Experience in WebGL or higher-level 3D frameworks (BabylonJS, Three.JS) a plus.

More info | Contact: Benjamin Sexson | Posted on: 2019-03-10 01:33:36 UTC

Computer Vision and Deep Learning Researchers & Engineers

MPI Lab/Samsung Research America | Plano (Dallas), TX

Samsung MPI Lab is currently looking to fill positions in the AI and Computer Vision team. As part of the team, you will be responsible for creating cutting-edge algorithms and technologies that can significantly enhance mobile platforms ability to understand visual environments and interact with users. By creatively applying computer vision and deep learning technologies, you will contribute to taking the user experiences on Samsung Mobile products to the next level. The projects at MPI lab are part of Samsung Mobile’s global R&D effort and have direct impact on future Samsung Mobile products reaching millions of users worldwide. [Responsibilities] include: - Identify areas of differentiation and innovation around mobile camera by leveraging new and existing vision and deep learning algorithms and vision-based user interfaces, - Prototype algorithms and applications in Python, C/C++, - Understand the constraints of mobile systems and use that understanding to deliver feasible and efficient algorithms. [Qualifications]: - Extensive experience in one or more deep learning frameworks. -MS/Ph.D in Computer Science/Electrical Engineering/Computer Engineering or similar technical degree. Ph.D. degree is preferred. -Hands-on experience in one or more of the following areas: object detection/recognition/tracking, 3D vision, deep learning/CNN, semantic segmentation, optical flow/depth estimation, camera calibration, SLAM, 3D registration/reconstruction/modeling. [If interested]: please send us your resume with email subject line: [CVPR job board] your name, your school.

More info | Contact: David Liu | Posted on: 2019-03-10 01:31:20 UTC

Professorship (W1, tenure track) in Visual Computing

Johann Wolfgang Goethe University Frankfurt am Main |

The Faculty of Computer Science and Mathematics of the Johann Wolfgang Goethe University Frankfurt am Main invites applications for the following position at the Institute of Computer Science, which is funded by the Tenure Track Programme of the German Federal Government and the Federal States (BLP-TT), starting at the earliest possible date: Professorship (W1, tenure track) in Visual Computing The initial tenure track appointment as Assistant Professor (Civil Servant or Public Employee) is for six years according to § 64 of the Higher Education Act of the State of Hessen (HHG). Upon positive evaluation, the incumbent will be promoted to a permanent position at a higher level (W2). The invitation to apply aims to reach early-stage researchers. According to § 64 (3) HHG candidates should not have obtained their PhD at Goethe University Frankfurt or should have worked as a researcher at an external institution for at least two years after their PhD. The doctorate should not date back to more than four years. We are seeking a candidate widely recognized for excellent research in one or several of the research areas Computer Vision, Machine Learning, Scientific Visualization, or Virtual/Augmented/Mixed Reality to complement our current team. We expect the candidate to have finished a doctorate (with grades at least ‘very good’, if obtained within Germany) and to possess an excellent track record of scientific publications. The professorship is embedded in the attractive research landscape in Frankfurt within and outside of the university (http://www.goethe-university-frankfurt.de/en?locale=en). There are intensive collaborations with the Cluster of Excellence Cardio Pulmonary Institute (CPI) and with other research institutions both within and outside of the university. Experience in the acquisition of third-party funded projects is desirable. The successful applicant is expected to cooperate with other research teams and to connect to the research topics of the Institute of Computer Science, the Department and Goethe University. We are looking for a dedicated academic teacher who will be actively involved in our graduate and undergraduate programs. Upon positive tenure evaluation, a substantial participation in the basic courses in programming is expected. Successful candidates will be required to participate in the academic self-government. The designated salary for the position is based on the German university pay scale or equivalent. Goethe University is committed to increasing the proportion of female faculty and therefore especially encourages women to apply. Applications of scientists from abroad are explicitly requested. Severely disabled applicants with equal qualification and aptitude will be given preferential consideration. For further information regarding the general conditions for professorship appointments and the “BLP-TT”, please see: www.vakante-professuren.uni-frankfurt.de Qualified academics with an internationally recognized record in research are invited to submit their application with curriculum vitae (scientific and professional experience), a list of publications, a record of teaching activities, a draft of three pages at most on present and planned research, a record of actively acquired third-party funding, and certificates and documents in electronic form (as a single pdf-file) to the Dean of the Department of Computer Science and Mathematics, by e-mail - bewerbung@fb12.uni-frankfurt.de - until 15 March 2019. For questions on the position, please contact the Executive Director of the Institute of Computer Science, Prof. Dr. Uwe Brinkschulte: leitung@informatik.uni-frankfurt.de.

More info | Contact: Prof. Dr. Uwe Brinkschulte | Posted on: 2019-03-10 01:28:55 UTC

Postdoc Position (4 years) on Face Analysis /Deep Learning

University of Oulu | Finland

We are looking for a postdoc researcher (4 years, full-time, well paid) to join a dynamic team at the University of Oulu, Finland. The topic is flexible around face analysis and deep learning. Interested? Please contact Prof. Abdenour Hadid (hadid.abdenour@oulu.fi)

More info | Contact: Prof. Abdenour Hadid | Posted on: 2019-03-08 12:57:49 UTC

Computer Vision Engineer

C-STATS | Seattle, WA

C-SATS, now a part of the Johnson & Johnson Institute, is a first of its kind online performance improvement system for surgeons. Started by a team of doctors, engineers, and biostatisticians as a research project at the University of Washington, we provide objective, quantitative feedback on surgeons' intra-operative skill. Once our hardware gathers surgical video from operating rooms around the country, our software platform provides detailed performance evaluation using expert reviewers, non-technical crowds, and Artificial Intelligence. As a part of the Johnson & Johnson Institute, C-SATS can now harness the reach, collective resources, and passion of the Johnson & Johnson Family of Companies to support the professional growth of those who care for others. The Opportunity C-SATS is the first AI platform for surgical education, and this role is at the core of what we do. By joining C-SATS, you will become part of a tight-knit, startup-minded team committed to improving medical outcomes and bringing state-of-the-art technology to healthcare. On any given day in this role, you might: ·Use state-of-the-art computer vision techniques to extract information from surgical videos ·Build machine learning models that draw on video, text, audio and other data sources to offer personalized insights for health care ·Work on challenging problems in surgical video understanding -- with a surgical video data set that no one else has ·Collaborate with the CSATS engineering team to ensure that our AI scales in production ·Collaborate with medical practitioners to understand what kinds of visual signals are important to predict or detect Why This Matters You will be responsible for a critical part of C-SATS, and you will have a direct impact on patient outcomes. We measure technical skills in healthcare practitioners -- skills that directly impact patients. Medical practitioners who score poorly generate 3x more complications and 5x more deaths than top performers. The AI that you build will have both impact and scale: Major medical centers have completed 1.5 million assessments with C-SATS, and they depend on us to ensure the quality of practitioners and the safety of patients. Qualifications ·You have a master’s degree in ECE, computer vision, computer science, or a related field (PhD preferred) ·You have 3+ years of relevant industry experience working with video data ·You are proficient in machine learning and computer vision ·You’re proficient in Python, OpenCV, and at least one major deep learning framework ·You’ve deployed deep learning models to production ·You’re strongly motivated to do state of the art work that has a concrete, positive impact on the world ·You want to join a small, scrappy, startup-style team and work full-time onsite in Seattle, WA Preferred ·5+ years of relevant experience ·Strong knowledge of AWS

More info | Contact: Philip W.Moses | Posted on: 2019-03-08 12:56:21 UTC

Machine Learning/ Computer Vision specialist

WMA's Data Science Branch | Middleton/Madison, WI

The WMA's Data Science Branch has opened a 4 year TERM position in the computer science series for a Machine Learning/ Computer Vision specialist. The position is open to the public with a duty station of Middleton/Madison, WI and has a full performance level of a GS-12. The position closes next week Friday (3/15). The branch works on prediction, data workflows, and data visualizations and you can read more about it here. They are a small high-functioning team that values the contributions of technical staff and have a lot of exciting future project work ahead. If you or someone you know might be interested in joining us as an ML specialist, please apply or share widely. https://www.usajobs.gov/GetJob/ViewDetails/525772600 If you have any questions, please contact Jordan Read jread@usgs.gov

More info | Contact: Jordan Read | Posted on: 2019-03-07 15:05:06 UTC

PhD Positions on Computer Vision / Machine Learning.

KAUST Visual Computing Center | Thuwal, SA

We are looking for passionate AI researchers to join the Visual Computing Center (multiple openings) at the beautiful KAUST campus. In particular, prospective Ph.D. Students will be working on Computer Vision fundamental research and mainly in Vision&Language and Visual Creative AI. Our Visual Computing Center faculty contributed to making KAUST ranked #9 worldwide in Computer Vision & Graphics from 2014-2019 with the least number of faculty according to csranking.org ( measures research productivity in top-tier conferences); http://csrankings.org/#/fromyear/2014/toyear/2019/index?vision&graph&world. Ph.D. students will have access to world-class compute with near 1000 GPUs and are encouraged to interact with our world-class experts in different AI areas. The desired qualifications include previous experience in deep learning (e.g., pyTorch/TensorFlow), strong programming skills (python, C/C++ ), and understanding of current machine learning approaches and generative models. Interested students are encouraged to contact me and visit the openings page for details on how to follow-up; http://www.mohamed-elhoseiny.com/openings. A few highlights of the research areas and the work we do in our lab. Imagination Inspired Vision (Connecting Zero-Shot Learning and Creative AI);https://www.dropbox.com/s/ocbqi5bhp72ko0s/Elhoseiny_Imagination_Inspired_Vision.ppsx .Video on United Nations; https://www.youtube.com/watch?v=YaimaN03q24 .Video on Creative Fashion Generation at the high impact Facebook F8 Conference; https://developers.facebook.com/videos/f8-2018/design-design-inspiration-from-generative-networks/ A few highlights of the research areas and the work we do in our lab. Imagination Inspired Vision (Connecting Zero-Shot Learning and Creative AI) Video on United Nations Coverage Video on Creative Fashion Generation at the high impact Facebook F8 Conference: Website : http://mohamed-elhoseiny.com Links：http://csrankings.org/#/fromyear/2014/toyear/2019/index?vision&graph&world http://csranking.org/ http://www.mohamed-elhoseiny.com/openings

More info | Contact: Mohamed Elhoseiny | Posted on: 2019-03-07 15:00:50 UTC

PhD and Research Engineer Positions in Computer Vision/Deep Learning for Healthcare

University of Strasbourg | France

We are looking for candidates with a strong academic record or equivalent industrial experience to help us develop real-world AI-based solutions for the Operating Room. The successful candidates will work with the research group CAMMA and develop new methods for data analytics in the operating room using large and unique video datasets captured during real procedures. They will be hosted within a novel surgical institute with brand new facilities at the University Hospital of Strasbourg and thereby have direct contact with clinicians, industrial partners and also have access to an exceptional international research environment.

More info | Contact: Nicolas Padoy | Posted on: 2019-03-07 14:59:24 UTC

Staff Scientist

National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health (NIH) | Bethesda, Maryland

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the National Institutes of Health (NIH), Intramural Research Program (IRP) is seeking exceptional candidates for the position of Staff Scientist. The advanced imaging and microscopy (AIM) trans-NIH resource (https://www.nibib.nih.gov/labs-at-nibib/advanced-imaging-and-microscopy-aim-resource) provides intramural scientists access to next generation light microscopy and home-built instruments. The continued success of AIM depends critically on computation, as two major challenges facing us are (i) handling and analyzing the multi-terabyte image datasets that we produce with our microscopes; (ii) the need to develop machine learning tools for image post-processing, segmentation, tracking, denoising, deconvolution, etc. We are currently looking for a staff scientist to lead these computational efforts. To meet these challenges, the individual selected for this position will handle three types of projects: a) analysis of images generated by AIM instruments; b) analysis and algorithm development on purely computational projects that involve non-AIM platforms at the NIH; c) projects motivated by personal interest that impact the broader imaging community.

More info | Contact: Dr. Hari Shroff | Posted on: 2019-03-07 14:57:42 UTC

R&D Associate Staff Member - Computer Vision for Advanced Manufacturing

Oak Ridge National Laboratory | Oak Ridge, TN (USA)

To support ORNL strategic R&D activities in advanced manufacturing, the ISML group is accepting applications for a research staff member position with expertise in computer vision, image processing, and computational imaging. The selected candidate will work at the Manufacturing Demonstration Facility (MDF - https://web.ornl.gov/sci/manufacturing/mdf/) to advance manufacturing technologies, and to facilitate and accelerate their deployment to industry. Working with state-of-the-art 3D printers and machining systems, we are manufacturing complex parts with a wide range of materials and sizes, and under different thermal conditions. Because flaws or suboptimal conditions are common, we are interested in automatically identifying and quantifying geometrical and surface features, characterizing material properties, and monitoring physical and thermal conditions during the manufactured process. In this context, your work will focus on developing hardware and software computer vision techniques (1) to monitor the manufacturing process in-situ; (2) to assess the quality of the manufactured parts, either in-line or off-line; and (3) to develop modules of a feedback loop control strategy. You will rely on the combination of spectral imaging, 3D imaging, modeling and simulation, and/or optical designs in order to extract relevant information from the scene. You will then develop algorithms to extract quantifiable features, eventually converting the algorithm into a trained AI model for in-situ quality control.

More info | Contact: Vincent Paquit | Posted on: 2019-03-07 13:30:44 UTC

Samsung Intern/Full time Position

Samsung |

Position Summary Worker Type: Intern Contract Type: Full time Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer. *VISA Sponsorship not available for this position Role and Responsibilities Purpose of the Role: We are currently looking for intern doing MSc or PhD to join our growing team in Staines-upon-Thames. This is a good opportunity to work on next generation mobile devices from Samsung. The prospective intern will investigate vision techniques for object detection, segmentation and processing of live camera frames and images on desktop, mobile or any other embedded devices. The prospective intern will have an opportunity to work on production environments and solve industry relevant problems. As a Computer Vision and Robotics intern you will: o Review state of the art computer vision and robotics research papers and develop prototype solutions. o Development of software and algorithms for computer vision, image processing and deep learning models o Have technical responsibility for one or more significant sections of the assigned project o Translate complex functional and technical requirements into detailed design Skills and Qualifications Skills and attributes: Required Skills o Masters, Ph.D., or equivalent experience in Computer Vision or Machine Learning (Computer Science, Mathematics, Engineering, etc.) o Strong 3D maths skills o Programming proficiency in OpenCV, Matlab, C++/Java/Python o Experience of using Deep Learning libraries like Caffe, Torch and/or TensorFlow o Excellent communication, team work and a results-oriented attitude o Proficiency in problem solving and debugging Desirable Skills o Experience of Android application development o Experience with compute and graphics APIs like CUDA, OpenCL, and OpenGL. o Familiarity with: object detection, image classification. o Familiarity with Robot OS (ROS) o Familiarity with embedded devices like Raspberry Pi o Experience with depth sensors and motion sensors (gyroscope, accelerometer, etc.) o Experience with SLAM (Simultaneous Localization and Mapping) and navigation

More info | Contact: Albert Saa-Garriga | Posted on: 2019-03-07 13:29:03 UTC

Research Scientist

Baidu | Beijing, China

Key Responsibilities: -Research, design, implement and evaluate novel robotics algorithms for real world problems -Participate in software prototyping, experimental evaluation, and technology transfer -Contribute to a portfolio of patents and academic publications -Collaborate closely with engineering teams to drive scalable and efficient implementations Qualifications: -PhD/MSc in Computer Science, Electrical Engineering, or related field -Proven track record in conferences/journals -Expertise in at least one of following robotics areas (perception, decision making, planning, control, state estimation, human-robot interaction, NLP, simulation, machine learning, and deep learning) -Good programming skills in C/C++ and/or python -Familiarity with ROS or other robotics middleware

More info | Contact: Ying Che | Posted on: 2019-03-05 13:11:26 UTC

Computer Vision Scientist/Engineer

Baidu | Beijing. Shanghai. Shenzhen, China

Key Responsibilities: -Participating in cutting edge research in fine-grained recognition -Developing robust fine-grained recognition system -Promoting fine-grained recognition project into applications Qualifications: -MS or PhD degree in Computer Vision, Machine Learning, Deep Learning or related field. -Expert knowledge of developing and debugging in C++ and scripting languages (Python, Lua, shell, etc.) -Experience with deep learning frameworks (Caffe, Torch, etc.) -Preferred qualifications：Publication of CVPR, ICCV, ECCV, NIPS, ICML etc.; State-of-the-arts results on ImageNet, CUB-bird, VOC, KITTI, MS COCO etc.

More info | Contact: Ying Che | Posted on: 2019-03-05 13:10:46 UTC

Computer Vision Engineer

Baidu | Shenzhen, China

Key Responsibilities: -Research, design, implement and evaluate novel robotics algorithms for real world problems -Participate in software prototyping, experimental evaluation, and technology transfer -Contribute to a portfolio of patents and academic publications -Collaborate closely with engineering teams to drive scalable and efficient implementations Qualifications: -Strong in coding -Ability to write high quality code in C/C++. Python programming is a plus. -Experience in one of the following areas is required: robotics, computer vision, or machine learning. -Proven system integration and software architecture skills. -Publication record in top venues (ICRA/RSS/ICCV/CVPR, etc.) is a strong plus. Experience in autonomous driving is a strong plus.

More info | Contact: Ming Yang | Posted on: 2019-03-05 13:10:06 UTC

1) Research Engineer-Perception; 2) Research Engineer Intern -Perception

Weride.ai (formerly Jingchi) | Sunnyvale, CA

Perception engineer will work on researching and implementing the next generation automotive computer vision and machine learning algorithms on our L4 autonomous driving system.

More info | Contact: Yingmei Yang | Posted on: 2019-03-05 13:07:51 UTC

Funded UK PhD Studentship – Computational Lighting in Video

Centre for Vision Speech & Signal Processing, in collaboration with BBC R&D | UK

This studentship provides full tuition fees (UK student rate) and a living stipend at UKRI standard rate. This project also comes with a stipend enhancement of £5000 p.a. above the standard rate. Being tax free, this stipend is roughly equivalent to a salary of £25,000 pa (rising annually) over a 4 year period. Only UK residents are eligible for the funding (those with indefinite leave to remain, who have been resident in the UK for 3 years). This project will explore how advances in Generative networks and deep-learning approaches to beautification and stylistic transfer, can be combined to artificially recreate the appearance of professional lighting. The system will use recordings from one or more viewpoints of a scene with an unknown lighting setup, and will generate a video of the same scene but which a viewer would judge to have been recorded under “three point lighting”. The developed technology is of interest as a potential extension to the capabilities of the Ed system currently being developed by BBC R&D. The Ed system is an automated system for creating edited coverage of live events. Its inputs are high-resolution locked-off cameras that are deployed at venues with live audiences. The system then creates “virtual camera” views by cropping the raw camera feeds and cuts between them to produce output. In real-world deployments, the lighting configuration is often constrained to a suboptimal setup. The ability to synthesise more appealing data than what can practically be achieved, would improve the output of the Ed system.

More info | Contact: Simon Hadfield | Posted on: 2019-03-04 14:52:19 UTC

Funded UK PhD Studentship – Generating virtual camera views using Generative Networks

Centre for Vision Speech & Signal Processing, in collaboration with BBC R&D | UK

This studentship provides full tuition fees (UK student rate) and a living stipend at UKRI standard rate. This project also comes with a stipend enhancement of £5000 p.a. above the standard rate. Being tax free, this stipend is roughly equivalent to a salary of £25,000 pa (rising annually) over a 4 year period. Only UK residents are eligible for the funding (those with indefinite leave to remain, who have been resident in the UK for 3 years). This project will explore how advances in Generative networks and deep-learning approaches to inpainting can be combined to create virtual camera views. A unified generative deep learning framework for viewpoint interpolation and inpainting, should effectively blend the observed viewpoints and hallucinated information, to produce a virtual camera feed from otherwise impractical vantage points. The developed technology is of interest as a potential extension to the capabilities of the Ed system currently being developed by BBC R&D. The Ed system is an automated system for creating edited coverage of live events. Its inputs are high-resolution locked-off cameras that are deployed at venues with live audiences. The system then creates “virtual camera” views by cropping these raw camera feeds and cuts between them to produce output. In real-world deployments, camera positioning is commonly constrained to suboptimal positions. The ability to synthesise more favourable camera views that were physically untenable could improve the output of the Ed system.

More info | Contact: Simon Hadfield | Posted on: 2019-03-04 14:47:56 UTC

Multiple research scientist/engineer/intern positions of all levels

Inception Institute of Artificial Intelligence (IIAI) |

Multiple research scientist/engineer/intern positions of all levels are available within the group of Prof. Shengcai Liao (https://liaosc.wordpress.com/) at the Inception Institute of Artificial Intelligence (IIAI). Our main research directions include face/person detection/recognition/re-identification, and single-/multi-camera multi-target object tracking. [ABOUT]: The Inception Institute of Artificial Intelligence (http://www.inceptioniai.org/) was founded in early 2018. It is the leading AI institute in UAE with the focus on breakthroughs in various areas of AI research. [REQUIREMENTS]: Research Scientist/Intern Positions require publications in top-tier CV/ML venues (CVPR/ICCV/ECCV, NIPS/ICML/ICLR, TPMAI/IJCV). Engineer positions require professional knowledge, rich experiences, and strong programing skills in face/person analysis. [BENEFITS]: Extremely competitive package (tax-free salary). An extremely powerful GPU farm with several hundreds of NVIDIA DGX-1/DGX-2 servers. World-leading standard of healthcare and education. An enjoyable modern working environment with spectacular sea-view. [APPLICATION]: Please send an email to Dr. Irtiza Hasan (irtiza.hasan@inceptioniai.org) with the subject line "[IIAI Positions]:" followed by the relevant role, and the content including a comprehensive CV, and/or links to your homepage/Google Scholar profile/Github or other profile with source codes developed by you.

More info | Contact: Dr. Irtiza Hasan | Posted on: 2019-03-04 14:45:19 UTC

02 fully-funded Ph.D. positions (supported via research assistantships)

Anh Nguyen's lab at Auburn University | USA

The particular research topic is flexible and will be in areas of mutual interest in Deep Learning. Topics include, but are not limited to: computer vision; generative modeling; understanding and explaining deep neural networks; improving model reliability and security; or combining deep learning and evolutionary algorithms. The lab has previously won Best Paper Awards at CVPR, GECCO, ICML Visualization workshop and Best Research Video Awards at IJCAI and AAAI. Our work has also been repeatedly featured in MIT Technology Review, Nature, Scientific American and deep learning lectures across various institutions. If you are interested in applying, please send your inquiries or applications to anh.ng8@gmail.com. + Application instructions: http://anhnguyen.me/recruiting + Deadlines: students are to start in Fall 2019 or Spring 2020. Positions are available until filled.

More info | Contact: Anh Nguyen | Posted on: 2019-03-04 14:40:57 UTC

Research Engineer (all levels)

LatentAI | Princeton, NJ

LatentAI is an SRI International spinout with proven technology, led by Si Valley veterans. LatentAI brings AI to the edge by optimizing for compute, energy, and memory without requiring changes to existing AI/ML infrastructure and frameworks. We have openings for research scientists and full-stack software developers (full time and internships). Qualifications: MS/PhD with expertise in computer vision, reinforcement learning, and embedded software development. Competitive salary and stock options, full benefits. Apply directly at latentai.com.

More info | Contact: Jags Kandasamy | Posted on: 2019-03-02 12:33:55 UTC

Research and Development Associate in Full Motion Video Processing

Oak Ridge National Laboratory | Oak Ridge, TN

The Multi-Modal Analytics and Architectures (M2A2) group at the Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of multi-modal data processing technologies to address national security and other worldwide challenges. Our core research competences are computer vision, data analytics, computational modeling, data visualization and architectures, image reconstruction, signal and image processing, electrical engineering, computer science, and mathematics. In general, M2A2’s activities involve first-class interdisciplinary research with other research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for federal research sponsors. M2A2 thrives in a culture of respect, diversity, curiosity, and discovery. In order to broaden and strengthen M2A2 capabilities, the group seeks an expert in full motion video. The M2A2 group is accepting applications for a full-time research staff position from applicants proficient in the following technical areas: full motion video processing and analysis, photogrammetry, computer vision, and image processing. The selected candidate is expected to work closely with other team members in an Agile development framework, which includes the use of version control and high-performance computing tools. Current projects are national security focused and deal with multi-modal data such as imagery, text, radar, and geospatial. The new staff member will develop new and enhance current tools for automated analysis and visualization of large spatio-temporal multi-modal datasets. Job Duties and Responsibilities: ·Research and develop full motion video product processing and analysis software, which includes: oDetection, tracking, and quantitative evaluation of frame objects, oImproved geolocation of video frames, oAutomated assessment of video quality, oIntegration of developed software with deployed applications. ·Research and develop software and algorithms for general multi-modal data collection and analysis ·Provide the Multi-Modal Analytics and Architectures group and the projects’ principal investigators with materials and results for technical proposals, white papers, news articles, technical papers and sponsor reports. ·Stay current with latest machine learning, full motion video, signal and image processing techniques. ·Participate in organizations related to motion imagery standards including MISB and relevant working groups. Required Qualifications ·PhD or Masters with a strong record of research and development in computer vision, photogrammetry, image processing, electrical engineering, computer engineering, computer science, or closely related field where full motion video processing capability is emphasized ·2+ years of work experience in related technical space ·Demonstrated experience conceiving and executing research and development projects ·Substantial programming skills in language such as C/C++ and Python ·Substantial experience in the implementation of image processing algorithms ·Ability to access export-controlled data and tools without requiring export control license* Preferred Qualifications ·Experience with real-time processing ·Experience with GIS software suite e.g. ArcGIS, ENVI, SOCET GXP, QGIS, … ·Experience in working with format such as NITF, GeoTIFF, and libraries like GDAL, NITRO, etc. ·Substantial experience with motion imagery standard such as KVL, Geo-Registration Local Set, etc. *U.S. Citizens and Lawful Permanent Residents (LPR) do not require an export control license.

More info | Contact: Brad Szallar | Posted on: 2019-03-02 12:32:30 UTC

Tenure Track Assistant Professor 'Computer Vision and Graphics

University of Amsterdam | Amsterdam

The Informatics Institute of the Faculty of Science is inviting applications for a fully funded tenure track position in the field of 3D computer vision and in particular automatic 3D object reconstruction, segmentation and recognition. 3D visual information is the most promising sources of information. To access big 3D data, automatic understanding of 3D visual information is crucial and requires new and visionary solutions. As 3D data understanding is in its very early stage, this tenure track project aims for high risk and visionary developments and exploration of automatic interpretation and understanding of 3D visual information. The overall aim of the tenure track is to reconstruct, recognize and print objects and scenes in 3D. The tenure track will focus on advanced 3D reconstruction and representation methods, recognition and learning methods, and printing techniques. An interdisciplinary approach is desired as 3D visual information is a merging topic between different research areas: mathematics, physics, computation, machine learning, and computer vision.

More info | Contact: Theo Gevers | Posted on: 2019-03-02 12:30:38 UTC

Tenure Track Assistant Professor 'Computer Vision and Graphics

University of Amsterdam | Amsterdam

The Informatics Institute of the Faculty of Science invites applications for a fully funded tenure track position in the field of computer vision and graphics. The research focusses on how to integrate the real and virtual world to enable realistic (real-time) rendering of 3D worlds for efficient and natural interaction (e.g. augmented and virtual reality). Research topics include, for example, the following: advanced SLAM, camera tracking, dense 3D reconstruction, graphics, photometric synthesis, image intrinsics, realistic inpainting, 3D simulations, 6 DoF object pose estimation, hybrid fusion, motion synthesis, semantic segmentation, and facial animation. All topics are based on 3D geometry (e.g. multi-view stereo and tracking) and/or machine learning (e.g. ConvNets and GAN’s). Applications areas are for example in augmented and virtual reality, 3D animation, 3D printing, gesture control, and HCI. This tenure track project aims for high risk and visionary developments and exploration. An interdisciplinary approach is necessary as computer vision and graphics are merging topics between different research areas: physics, graphics, machine learning, and computer vision.

More info | Contact: Theo Gevers | Posted on: 2019-03-02 12:29:43 UTC

Research Scientist, Reconstruction - London (PhD Student or Grad)

Facebook Reality Labs |

Facebook Reality Labs (FRL) London is looking for a Research Scientist with a passion for real-time computer vision and VR/AR to help define and build the next generation of augmented and virtual reality systems. Within the Facebook Reality Labs Surreal Vision team, this role focuses on formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, sensor fusion, state estimation, computer vision, large-scale reconstruction and localization, as well as large-scale online inference and optimization.

More info | Contact: Chris Johnson | Posted on: 2019-03-02 12:26:12 UTC

Research Scientist, Machine Perception and Learning (PhD Student or Grad)

Facebook Reality Labs |

Facebook Reality Labs (FRL) brings together a world-class, cross-discipline R&D team with the shared goal of developing the next generation of AR and VR technologies. The Surreal Vision research group at FRL is seeking exceptional Research Scientists to achieve great strides in general scene understanding at our research location in Redmond, WA. The focus of this role lies in formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, state estimation, computer vision, reconstruction, and large-scale online inference and optimization. In this role, there are opportunities to work closely with the Facebook AI research and applied machine learning groups, in addition to the leveraging the exciting team here at FRL, working across cutting edge device technologies in sensing and computational platforms.

More info | Contact: Chris Johnson | Posted on: 2019-03-02 12:25:35 UTC

Research Scientist, 3D Computer Vision & State Estimation (PhD Student or Grad)

Facebook Reality Labs |

Facebook Reality Labs (FRL) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal Vision research group at FRL is seeking exceptional Research Scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies. The aim of this role is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, sensor fusion, structure from motion, visual odometry, sensor/display calibration, 3D reconstruction and relocalization.

More info | Contact: Chris Johnson | Posted on: 2019-03-02 12:24:58 UTC

Senior Software Engineer - Computer Vision

Pony.ai | Fremont, CA

At Pony.ai, excellence is at the core of our company. Every detail counts as we work to deliver a safe, reliable, and cost-effective autonomous driving platform to the public. As part of the team, you will play a critical role in developing and deploying state-of-the art vehicle technology. You will have every opportunity to grow and develop as our company grows. Join us on this exciting journey as we bring the latest breakthroughs in artificial intelligence to the future of transportation. As a Senior Software Engineer in computer vision, you will be developing the “eye” of our vehicles. This includes designing, training, and evaluating perception solutions, specifically, large scale image/LIDAR data classification, segmentation, tracking, etc. You will also research and apply state-of-the-art computer vision algorithms into production.

More info | Contact: William Liu | Posted on: 2019-03-02 12:23:15 UTC

Big data and AI engineers

Weichai Group | Weifang and Shanghai (China), San Francisco (US)

Founded in 1946, Weichai is a multi-field and multi-industry international group which owns six business segments of powertrain, intelligent logistics, automotive, construction machinery, luxury yacht, and finance & after-services. With more than 80,000 employees worldwide, Weichai Group has four listing companies which have five stocks: Weichai Power（2338HK, 000338SZ）, Weichai Heavy Machinery（000880SZ）, Asiastar Bus（600213SH）and KION Group（DE000KGX8881）. The subsidiaries of Weichai Group spread all over Europe, North America, Asia, and other regions, and its products are exported to more than 110 countries and regions. Research innovation centres are established in the US, Japan, Germany, Singapore and China. The Weichai Big Data department is looking for talented data scientists and computer vision engineers to join the data analytics team. The candidate should have a PhD degree and solid experience in data modelling, image processing and computer vision techniques. Strong programming skills in Python/R/Tensorflow/OpenCV are preferred. These positions are responsible for researching and developing advanced data models, imaging processing, machining learning and computer vision algorithms for Weichai products, as well as the application of big data and AI techniques in the whole product life cycle. Competitive salary and welfare housing, full benefits contact: tangb@weichai.com.

More info | Contact: Bo Tang | Posted on: 2019-02-28 13:28:32 UTC

Applied researcher (all levels)

Cortexica Vision Systems ltd | London

Cortexica is an award-winning provider of visual search and image recognition technology for websites and hard-ware devices. We are focusing on leveraging AI to help solve real-world problems on real-world data. As an Applied Researcher in computer vision you will have a unique opportunity to use your creativity both to understand the latest cutting-edge research and to tailor it for real-world applications. Your work will span from real-world data handling to the most advanced methods with a focus on understanding quickly and experimenting even faster.

More info | Contact: Andrea Mirabile | Posted on: 2019-02-28 13:13:08 UTC

Postdoc position

UC Berkeley / ICSI |

We have a postdoc position available immediately at UC Berkeley / ICSI. Ideal candidates should have a strong publication record, solid math and coding skills. Experience in 3D vision, video understanding, graph theory would be a plus.

More info | Contact: Stella Yu | Posted on: 2019-02-28 13:11:57 UTC

PhD Student Position

University of Edinburgh | Edinburgh, UK

Description of the job: We are looking for passionate and outstanding students to pursue a PhD in computer vision and deep learning at the University of Edinburgh. Our research focuses on understanding motion in vision: what motion tells us about the properties, the state and the structure of the world, how to use it, and how to estimate it. Possible topics may include, but are not limited to, integrating motion estimation and high level behavioral tasks such as recognition and action, designing novel core architectures for temporal modeling, exploring novel tasks that improve temporal learning etc. The expected period of study is 3.5 years. The successful candidate would be part of the School of Informatics, which includes access to world class equipment in computing and robotics, and one of the largest research communities in Europe with more than 100 faculty and over 400 graduate students. The desired qualifications include master's degree in computer science or related subjects, previous experience in deep learning and strong programming skills (C++/python, pyTorch/TensorFlow). Basic understanding of current methods is preferred (optical flow, video classification approaches, recurrent networks, reinforcement learning).

More info | Contact: Laura Sevilla | Posted on: 2019-02-28 13:10:18 UTC

Two post doc positions at the iCub facility - Italian Institute of Technology

iCub facility - Italian Institute of Technology | Italian

The Event-Driven Perception for Robotics (EDPR) Research Line (www.edpr.iit.it) at the iCub facility – Istituto Italiano di Tecnologia (IIT) – is seeking to appoint two postdoctoral fellows in the area of low-latency vision for autonomous robots. We are looking for talented and enthusiastic postdocs who will join our team to develop algorithms for low-latency and high-speed vision for motion estimation and 3D object tracking. In particular, the candidates will be in a unique position to exploit recent advances in machine learning and more traditional computer vision techniques, in combination with novel biologically “event-driven” inspired sensors. For more details on the position check out the official call https://edpr.iit.it/openings/914:postdoctoral-positions-on-low-latency-vision-for-autonomous-robotics , or write to chiara.bartolozzi@iit.it, and for more information on EDPR watch https://www.youtube.com/watch?v=9RKzUaqGhE4&feature=youtu.be

More info | Contact: Chiara Bartolozzi | Posted on: 2019-02-28 13:04:40 UTC

Research Scientists/Engineers

IIAI (Inception Institute of Artificial Intelligence) | Abu Dhabi, UAE

The Inception Institute of Artificial Intelligence is a national-scale organization of the UAE aiming for breakthroughs in fundamental and applied AI research. Multiple vacancies of Research Scientists/Engineers are available. Qualifications and Experience: 1. Proven experience in Computer Vision, Machine/Deep Learning, Remote Sensing, Natural Language Processing or related fields; 2. Publication records of top-ranked conferences/journals, such as TPAMI, CVPR, IJCV, NIPS, ICML, ICCV, ECCV, KDD and ACL; 3. Experience with Python, MATLAB, C++, Java and deep learning frameworks (PyTorch/Tensorflow/Keras/Caffe); 4. Experience with large-scale data and parallel computing. Benefits: 1. Extremely competitive package (tax-free salary); 2. Most advanced computing resources; 3. An enjoyable modern working environment; 4. World-leading standard of healthcare and education.

More info | Contact: Fan Zhu | Posted on: 2019-02-28 13:01:20 UTC

Research Scientists and Engineers

UBTECH | Shenzhen , China

UBTECH is a global leading AI and humanoid robotic company. UBTECH has successfully developed consumer humanoid robots, robots for business use, and JIMU Robot building kits following breakthroughs made in digital servos, the core part of humanoid robots. In 2018, UBTECH achieved a valuation of USD$5 billion following the single largest funding round ever for an artificial intelligence company. We are searching for Research Scientists and Engineers at all levels to develop innovative computer vision algorithms and solutions for humanoid robots. Key requirements for the position: Excellent programming skills in python, C/C++; extensive experience in caffe, tensorflow, pytorch or related libraries; PhD or Master in machine learning, computer vision, pattern recognition, image processing and related fields; Strong record of publication in tier 1 conferences and journals; Interest and passion with robotic vision

More info | Contact: Jun Cheng | Posted on: 2019-02-28 12:56:23 UTC

Senior Software Engineer - Deep Learning

Pony.ai | Fremont, CA

Description of the job: At Pony.ai, excellence is at the core of our company. Every detail counts as we work to deliver a safe, reliable, and cost-effective autonomous driving platform to the public. As part of the team, you will play a critical role in developing and deploying state-of-the art vehicle technology. You will have every opportunity to grow and develop as our company grows. Join us on this exciting journey as we bring the latest breakthroughs in artificial intelligence to the future of transportation. As a Senior Deep Learning Engineer you will be responsible for developing machine learning solutions to real world problems. You will work closely with the perception and planning teams to develop evaluation tools for autonomous driving.

More info | Contact: William Liu | Posted on: 2019-02-28 12:54:19 UTC

Associate Professor- Biomedical Informatics, Health Economics and Data Analytics

Arizona State University |

The College of Health Solutions (CHS) at Arizona State University (ASU) seeks a full-time, 9-month, tenure-track faculty member at the rank of associate professor in the area of health economics and data analytics. The position may be tenured or tenure-track depending on qualifications. Applicants require knowledge and skills in health economics and related quantitative techniques to support data-driven decisions in health organizations. The responsibilities for this position include developing and maintaining a successful research program, teaching undergraduate and graduate courses and mentoring students in research, and providing service to the program and university as well as to the community and profession. Applicants will be expected to conduct data-driven economic analyses for research on health care markets, health insurance, reimbursement schemes, public health and community interventions, and related topics, and support teaching in biomedical informatics, the science of healthcare delivery, and other areas relevant the applicant’s area of expertise. The successful candidate will collaborate with local, national, and international health organizations on research projects and play an important role in the development and use of the databases in the ASU Center for Health Information & Research (CHiR), a multidisciplinary unit in the College that provides comprehensive health care information and data analytics for Arizona. CHiR has served as a community resource for academia and public health research for over 15 years. Biomedical Informatics Program Biomedical Informatics (BMI) is an evolving, dynamic field recognized as increasingly essential to the advancement of the health industry connecting basic sciences with the practical application of clinical sciences. Skilled professionals in BMI are able to analyze and translate large amounts of health data into meaningful solutions that improve health care delivery and patient outcomes. In CHS, BMI academic faculty teach and research in the whole spectrum of biomedical informatics, including bioinformatics, imaging informatics, clinical informatics, and public health informatics, and foster strong partnerships with researchers, clinical practitioners and regional health care providers in the advancement of research and education in the science and practice of biomedical informatics. Faculty have a presence at Mayo Clinic’s Scottsdale campus and partnerships with many other health organizations, which infuse our degree programs with practical research that mandates clinical relevance and reinforces a standard of excellence and leadership. College of Health Solutions The College of Health Solutions (CHS) is dedicated to translating scientific advances into practical interventions to improve health outcomes through education, research and service. We equip students with the knowledge and skills to influence healthier lifestyle choices; develop creative interventions to improve the health of people and populations; analyze and translate large amounts of health data into solutions; and maximize the technology, science, business and application of diagnostics. CHS research programs encompass basic/discovery science, clinical trials, intervention science and measurement of health outcomes. In all cases, CHS faculty use interdisciplinary approaches to address the complex systems that underpin health problems. The college is highly collaborative, transparent and team-oriented with an innovative organizational structure that includes translational teams, affinity networks, and academic programs to improve the health of people and communities. The current training programs include behavioral health, biomedical diagnostics, biomedical informatics, executive and continuing education, exercise science, health promotion, health sciences, kinesiology, medical studies, nutrition, population health, the science of health care delivery, and speech and hearing science. Our programs are offered at ASU’s Downtown Phoenix, Tempe, West and Lake Havasu campuses, as well as on Mayo Clinic’s Scottsdale campus. For more information about ASU and the College of Health Solutions, visit http://about.asu.edu/ and https://chs.asu.edu Required qualifications: MD and/or PhD degree in field appropriate to the duties, including in Health Economics, Data Science, Biomedical Informatics, Computer Science, or a related field Demonstrated knowledge of health economics and data analytics as well as experience in applications Demonstrated experience with data modeling for improved health outcomes Evidence of conducting and leading research Evidence of a strong peer reviewed publication record Demonstrated ability or potential to write and secure extramural grants Demonstrated ability or potential to develop and teach courses, and mentor graduate and undergraduate students Desired qualifications: ·Evidence of successfully writing and securing extramural grants ·Evidence of successfully teaching on-campus and/or online courses ·Evidence of successfully mentoring graduate and undergraduate students ·Demonstrated experience in conducting interdisciplinary team-based research and collaborating with health organizations ·Demonstrated excellent organizational, interpersonal, and communication (oral and written) skills ·Ability to provide service to the program and university, as well as to the community and profession Application Deadline and Procedures: Initial close date for the position is March 24, 2019; if not filled, reviews will occur every two weeks thereafter until the search is closed. To apply, click http://apply.interfolio.com/60226 to submit the following: 1.A letter of interest with the name of the position and rank for which you are applying, including your qualifications and experience as it relates to the position 2.Teaching statement 3.Research statement 4.Curriculum vitae including a list of publications 5.Information for 3 professional references (their position, title, e-mail, phone number). Finalists will be asked to provide three letters of recommendation. If you have questions regarding the recruitment process, please contact Dinorah Metz at dinorah.metz@asu.edu. A background check is required for employment. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law (See ASU’s complete non-discrimination statement and www.asu.edu/titleIX/.)

More info | Contact: Dinorah Metz | Posted on: 2019-02-28 12:52:52 UTC

Associate Professor- Biomedical Informatics and Data Science

Arizona State University |

The College of Health Solutions (CHS) at Arizona State University (ASU) seeks a full-time, 9-month, tenure-track faculty member at the rank of Associate Professor in the area of Biomedical Informatics and Data Science. The position may be tenured or tenure-track depending on qualifications. Applicants with expertise in biomedical informatics and data science, including statistics, artificial intelligence, machine learning, data mining, computer vision, data visualization, natural language processing, and their applications in medicine and healthcare are encouraged. Responsibilities for this position include developing and maintaining a successful research program, teaching undergraduate and graduate courses and mentoring students in research, and providing service to the program and university as well as to the community and profession. The ideal candidate will present evidence of a successful research trajectory, including a strong publication record and evidence of funding, and a strong commitment to high quality teaching and student mentoring. The candidate will be excited by the opportunity to develop research programs with significant collaborations and translate discoveries into the practice for the improvement of patient care. Biomedical Informatics Program Biomedical Informatics (BMI) is an evolving, dynamic field recognized as increasingly essential to the advancement of the health industry connecting basic sciences with the practical application of clinical sciences. Skilled professionals in BMI are able to analyze and translate large amounts of health data into meaningful solutions that improve health care delivery and patient outcomes. In CHS, BMI academic faculty teach and research in the whole spectrum of biomedical informatics, including bioinformatics, imaging informatics, clinical informatics, and public health informatics, and foster strong partnerships with researchers, clinical practitioners and regional health care providers in the advancement of research and education in the science and practice of biomedical informatics. Faculty have a presence at Mayo Clinic’s Scottsdale campus and partnerships with many other health organizations, which infuse our degree programs with practical research that mandates clinical relevance and reinforces a standard of excellence and leadership. College of Health Solutions The College of Health Solutions (CHS) is dedicated to translating scientific advances into practical interventions to improve health outcomes through education, research and service. We equip students with the knowledge and skills to influence healthier lifestyle choices; develop creative interventions to improve the health of people and populations; analyze and translate large amounts of health data into solutions; and maximize the technology, science, business and application of diagnostics. CHS research programs encompass basic/discovery science, clinical trials, intervention science and measurement of health outcomes. In all cases, CHS faculty use interdisciplinary approaches to address the complex systems that underpin health problems. The college is highly collaborative, transparent and team-oriented with an innovative organizational structure that includes translational teams, affinity networks, and academic programs to improve the health of people and communities. The current training programs include behavioral health, biomedical diagnostics, biomedical informatics, executive and continuing education, exercise science, health promotion, health sciences, kinesiology, medical studies, nutrition, population health, the science of health care delivery, and speech and hearing science. Our programs are offered at ASU’s Downtown Phoenix, Tempe, West and Lake Havasu campuses, as well as on Mayo Clinic’s Scottsdale campus. For more information about ASU and the College of Health Solutions, visit https://about.asu.edu/ and https://chs.asu.edu Required qualifications: ·MD and/or PhD degree in field appropriate to the duties, including Biomedical Informatics, Computer Science, Electrical Engineering, Mathematics, Statistics, and other related areas ·Demonstrated expertise and knowledge in biomedical informatics and data science, including statistics, artificial intelligence, machine learning, data mining, computer vision, data visualization, natural language processing, and their applications in medicine and healthcare ·Evidence of conducting and leading research ·Evidence of a strong peer reviewed publication record ·Demonstrated ability or potential to write and secure extramural grants ·Demonstrated ability or potential to develop and teach courses, and mentor graduate and undergraduate students Desired qualifications: ·Evidence of successfully writing and securing extramural grants ·Evidence of successfully teaching on-campus and/or online courses ·Evidence of successfully mentoring graduate and undergraduate students ·Demonstrated experience in conducting interdisciplinary team-based research and collaborating with health organizations ·Demonstrated excellent organizational, interpersonal, and communication (oral and written) skills ·Ability to provide service to the program and university, as well as to the community and profession Application Deadline and Procedures: Initial close date for the position is March 24, 2019; if not filled, reviews will occur every two weeks thereafter until the search is closed. To apply, click https://apply.interfolio.com/60222 to submit the following: 1.A letter of interest with the name of the position and rank for which you are applying, including your qualifications and experience as it relates to the position 2.Teaching statement 3.Research statement 4.Curriculum vitae including a list of publications 5.Information for 3 professional references (their position, title, e-mail, phone number). Finalists will be asked to provide three letters of recommendation. If you have questions regarding the recruitment process, please contact Dinorah Metz at dinorah.metz@asu.edu. A background check is required for employment. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law (See ASU’s complete non-discrimination statement and www.asu.edu/titleIX/.)

More info | Contact: Dinorah Metz | Posted on: 2019-02-28 12:51:30 UTC

Postdoctoral positions at Osaka U in Computer Vision

Institute for Datability Science (IDS) | Osaka, Japan

The Institute for Datability Science (IDS) at Osaka University was founded in April 2016, with a goal to facilitate data-driven research projects, by connecting experienced experts to researchers in Osaka University (http://www.ids.osaka-u.ac.jp/en/). IDS has some open positions in the fields of Computer Vision, Pattern Recognition, Machine Learning, Data Mining, and Natural Language Processing. We invite applications from researchers in these fields. You will be assigned based on your expertise to interdisciplinary projects in the fields of medicine, dentistry, pharmacy, science, engineering, humanities, and sociology. Asides from these projects, you may work on your own projects. We especially look forward to applicants who can work for medical image processing and human behavior analysis. These positions are basically on one-year contract, which can be renewed until March 2022, based on your performance and our budget situation. Please send your CV and publication list to applications@ids.osaka-u.ac.jp with desired date to join us. Prof. Hajime Nagahara will be at the venue during CVPR to meet you in person for more detail. If you have any questions regarding this offer, please do not hesitate of contact us at: applications@ids.osaka-u.ac.jp

More info | Contact: Prof. Hajime Nagahara | Posted on: 2019-02-28 12:43:33 UTC

Postdoc Position on dynamic scene understanding at Istituto Italiano di Tecnologia (IIT - Genova)

Italian Institute of Technology | Genova, Italy

VGM lab is opening a postdoc position to work on dynamic 3D scene understanding with topics related to semantic simultaneous localization and mapping (S-SLAM) and semantic structure from motion (S-SfM) which are core research themes of the Lab (Crocco et al., CVPR 2016), (Magerand & Del Bue, ICCV2017), (Rubino et al., PAMI 2018). As these previous works mainly deal with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in challenging dynamic and non-rigid environments. The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data.

More info | Contact: Alessio Del Bue | Posted on: 2019-02-28 12:41:41 UTC

Postdocs and PhD studentships in Computer Vision and Machine Learning

Imperial College London, Department of Electrical and Electronic Engineering | South Kensington, London, UK

Postdocs We are looking for strong candidates for multiple (up to three) postdoc positions. Topics include 6D object pose estimation, 3D object detection and tracking, GANs, data augmentation, face, deep reinforcement learning, robotics. Applicants should have a PhD in computer vision or machine learning, with a strong track record in CVPR/ICCV/ECCV, NIPS/ICML/ICLR, or PAMI/IJCV/TIP. Candidates who are able to carry highest quality research independently and to co-supervise PhD students are pursued. If you are interested, please send me an email titled ‘postdoc application 2019’, where you include your CV and the earliest starting date. PhD studentships We also have multiple (up to three) phd studentships, which cover maintenances and Home/EU tuition fees. Overseas candidates should be able to cover the tuition fee difference themselves (see here: https://www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/2018-19/postgraduate-research-programmes/faculty-of-engineering/). Topics include GANs, data augmentation, face, deep reinforcement learning, 2D/3D face by depth images. Ideal candidates should have a first-class MEng/MSc degree, with a clear evidence on research potentials, e.g. some publications. Our preference will be given to those who are able to carry research projects independently. If you are interested, please send me an email titled ‘phd application 2019’, where you include your CV, fee status (home/eu or overseas), and the earliest starting date.

More info | Contact: Tae-Kyun Kim | Posted on: 2019-02-28 12:40:13 UTC

Shapes AI Researchers

Shapes AI | London, UK and Palo Alto, USA

Shapes AI is building the platform to enable machines not just to see 3D objects, but to understand them. We're currently looking for talented researchers to join our world-class team devising state-of-the-art deep learning systems for 3D shape synthesis. Suitable candidates will have: (1) PhD or Master's in related field (2) Demonstrable experience designing and developing deep learning algorithms for computer vision (3) Mathematical understanding of at least one deep neural network (4) Programming skills in Python (5) Expertise in TensorFlow, Keras or PyTorch. If you have experience applying deep learning to 3D datasets and/or publications in top tier journals such as CVPR then this is highly advantageous. Other necessary info: - We have office in London, UK and Palo Alto, USA. - I will be main contact

More info | Contact: Adam Kendall | Posted on: 2019-02-28 12:31:52 UTC

Zillow Computer Vision and Deep Learning – Applied Scientist and Machine Learning Engineer Openings

Zillow | Seattle WA

Zillow’s Rich Media Experiences (RMX) team employs computer vision, 3D, and deep learning to invent the technology that enables Zillow's customers to make sense of homes information in order to find their dream home. Using groundbreaking technologies, our team works across product, research, engineering, and business to enable people to walk through a home. You'll be offered a rare opportunity to build new state-of-the-art technologies that deliver unique information and visual experiences to our customers. You can be a part of empowering the next-generation of home shopping. We are seeking several Applied Scientists, Machine Learning Engineers, and Designers to build spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters. A Ph.D. in Computer Science or Engineering, Machine Learning, Computer Vision, or related domain with relevant work experience is desired for roles on this team. If you’re interested, please inquire about opportunities wtih Vince Ghiringhelli at Zillow via email at vinceg@zillowgroup.com using subject line “CVPR Job Posting”. Please include your resume and/or CV and a short description of what you are interested in, and we will follow up.

More info | Contact: Vince Ghiringhelli | Posted on: 2019-02-28 12:28:07 UTC

Summer Internship Openings

Ping An Technology | Bethesda, Maryland

Ping An Technology US Research Labs (Bethesda, Maryland, USA site) is one of the core research arms by Ping An Technology and Ping An Insurance Group, ranked 29# in the 2018 global fortune list. The lab mission is developing "clinician lead technology powered novel and effective clinical workflows" to improve patient care quality without increasing cost. The technology focuses are deep learning, medical image analysis and large-scale clinical informatics in the domains of quantitative imaging, precision medicine and preventive medicine. We commit to create an R&D environment where top-tier computer scientists and world-class clinicians can seamlessly collaborate and work together to tackle human health problems. We believe that is the best way of moving health forward and we have established in-depth main partnerships with two world leading hospitals and beyond. We are looking for several summer interns to work in Bethesda, Maryland. •KEY QUAILFICATIONS • PhD student in computer science, electrical engineering, biomedical engineering and related principles. • Good understanding and problem-solving experiences in computer vision, deep learning, statistical machine learning (medical imaging is a plus but not a must requirement). • Motivation and drive to solve health problems. • We provide market competitive compensations, mentorship and commit to build a stimulating, rewarding environment for interns. You will have the opportunities to closely interact with world-class physicians on defining/solving/deploying/evaluating what we are going to solve together.

More info | Contact: Le Lu | Posted on: 2019-02-28 12:26:28 UTC

Software Engineer, Perception

Zendar | Berkeley, CA

We are looking for a software engineer with experience in computer vision and machine learning. In this role, you will be responsible for extracting semantic information relevant for driving from our radar images, such as cars, pedestrians, curbs and drivable areas.

More info | Contact: Alison Louie | Posted on: 2019-02-28 12:24:02 UTC

Post-doctoral positions in computer vision and machine learning

National University of Singapore | Singapore

Post-doctoral research-fellow positions (2 years with possibility for extension) in computer vision and machine learning are available immediately in Computer Science at the National University of Singapore. Topics of interest include: - human action recognition, pose estimation - language and vision - other topics on high-level scene understanding and visual perception Applicants should have: - a PhD in computer vision or a related area with a strong background in modern machine learning techniques - a strong publication record at first-tier conferences and journals (e.g. CVPR/ECCV/ICCV/NIPS, IJCV/PAMI) - a strong mathematical background and extensive programming experience (C++ or Matlab or Python) - fluency in both written and spoken English Successful candidates will have - the opportunity to work in an excellent research environment and collaborate with leading researchers in machine learning, robotics and computer vision - a competitive salary and generous funding for travel, equipment, etc. - the possibility to supervise junior-level researchers Please send applications as a single PDF to Angela Yao at ayao@comp.nus.edu.sg with the subject “[Application] Post-doctoral research fellow 2019” and the following: - CV with list of publications - a research statement and proposal (max 3 pages) on any of the topics indicated above or another area of computer vision and or machine learning - contact details and or references from one to two academic referees -- You received this message because you are subscribed to the Google Groups "cvpr2019web" group. To unsubscribe from this group and stop receiving emails from it, send an email to cvpr2019web+unsubscribe@googlegroups.com. To post to this group, send email to cvpr2019web@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/cvpr2019web/06a901d4c8ba%246cc466f0%24464d34d0%24%40comp.nus.edu.sg. For more options, visit https://groups.google.com/d/optout.

More info | Contact: Angela Yao | Posted on: 2019-02-28 12:22:45 UTC

Senior Computer Vision R&D Scientist

UtopiaCompression Corporation | Los Angeles, CA 90066

UC is seeking a Senior Computer Vision Scientist to support its vision technology programs. In this role, you will be required to lead UC’s computer vision algorithm and software development efforts. You will be responsible for designing and developing computer vision and machine learning algorithms applied to multiple products. This will involve mathematical modeling and analysis, algorithm development, software prototyping and product development. Basic Requirements · Ph.D. in Computer Science/Electrical Engineering/Applied Mathematics, or M.S. w/5+ years’ experience · Strong background in Computer Vision, Machine Learning, and Image/Video Processing (detection, tracking, classification, online learning, active learning, deep learning, event analysis, etc.) · Contributions to peer-reviewed vision conferences/journals Strong programming skills in C++, Python, MATLAB Desired Expertise/Experience · Post-doctoral experience is a strong plus · Prior experience in executing R&D projects · Experience in writing proposal and winning grants Hands-on experience with EO and/or IR sensors and optical systems · Experience programming and developing on GPUs or other embedded systems

More info | Contact: Jessica Aras | Posted on: 2019-02-28 12:19:48 UTC

Graduate Research Internships – Computer vision and Machine learning

Intel, India | Bangalore, India

We, Ideas-2-Reality (I2R), are a new product incubation team at Intel in Bangalore, India. We are involved in research, new technology development and innovative product definitions for new businesses. We presently work on problems related to autonomous driving and driver-assistance, using computer vision and machine/deep learning. Our recent collaboration with academia resulted in the release of an open dataset named the India Driving Dataset (IDD) (see http://idd.insaan.iiit.ac.in/) at the AutoNUE workshop in ECCV 2018. A short video on this dataset is at https://ai.intel.com/videos/india-driving-data-set/ We have two graduate internship positions for Summer 2019 (June-Aug), and also long term (6 months) internships. For more details, apply online at https://jobs.intel.com/ (Job ID: JR0094558). Also CVs can be emailed to Anbumani Subramanian at anbumani.subramanian@intel.com, with a subject line: Graduate internship at I2R. Requirements: - Graduate studies in MS/PhD in EE or CS - Good programming knowledge in Python, OpenCV and deep learning frameworks - Strong knowledge in computer vision, machine learning & deep learning, with relevant academic work - Hands-on experience working on problems related to semantic/instance segmentation, LIDAR/RADAR data processing, multi-sensor fusion, scene understanding, and driving datasets. --- END

More info | Contact: Anbumani Subramanian | Posted on: 2019-02-28 12:16:11 UTC

Computer Vision Engineer

RVBUST Inc. | Shenzhen, China

RVBUST is a fast-growing startup providing industrial-strength machine vision and robotics solutions. We believe combining robotics with accurate vision is the future of industrial automation. We are currently looking for talented computer vision engineers to join our core R&D team. The candidate should have solid background and experience in image processing and computer vision. Strong programming skills in C++ and/or Python are mandatory. The candidate will work with passionate computer vision and robotics experts tackling real-world challenging problems daily, such as real-time 3D sensing, SLAM, industrial object recognition and pose pose estimation, camera calibration, etc. We offer competitive package and benefits, including stock options for core members.

More info | Contact: Ms. Wang | Posted on: 2019-02-28 03:20:44 UTC

Research Intern

SenseTime | San Jose , California

More info | Contact: Jingying Yang | Posted on: 2019-02-21 12:53:25 UTC

Research Engineer/ (all levels)

SenseTime | San Jose , California

SenseTime is one of the world’s leading AI companies. We are opening a new research lab in Silicon Valley (CA), aiming for fundamental, transformative research and development, specifically in the area of computational photography, computational imaging, multi-sensor fusion, and 3D vision, with applications in mobile image quality enhancement, AR/VR, and autonomous driving. We are looking for highly-motivated and hand-on engineers to join us. You will implement, optimize, and benchmark latest computer vision and machine learning algorithms according to computation, memory, power constraints; build tools that will increase the productivity of teams Initiate and implement novel product ideas by actively integrating research algorithms with customers' needs; stay up to date with the latest research and innovations in deep learning, computer vision, and computational photography Senior levels will lead multiple research engineering projects and manage the engineering team to meet the delivery schedule.

More info | Contact: Jingying Yang | Posted on: 2019-02-21 12:52:25 UTC

Research Scientists (all levels)

SenseTime | San Jose , California

SenseTime is one of the world’s leading AI companies. We are opening a new research lab in Silicon Valley (CA), aiming for fundamental, transformative research and development, specifically in the area of computational photography, computational imaging, multi-sensor fusion, and 3D vision, with applications in mobile image quality enhancement, AR/VR, and autonomous driving. We are looking for highly-motivated and hand-on researchers to join our core team. You will stay up to date with latest research frontier, design and implement innovative solutions for challenging problems from real products, build prototype demos on mobile platforms, and work with engineers and interns to transfer your new technologies to product teams. Senior levels will identify new research directions and lead multiple research projects.

More info | Contact: Jingying Yang | Posted on: 2019-02-21 12:51:47 UTC

Senior Applied Research Engineer – Advanced Camera Signal Processing

Sony Corporation of America - US Research Center | San Jose, Ca

Sony Corporation of America currently has an opening for a Senior Applied Research Engineer in our U.S. Research Center located in San Jose, CA. This position is responsible for researching and developing image processing, machine learning, and computer vision algorithms for new Sony products.

More info | Contact: Rich Ortega | Posted on: 2019-02-21 12:49:34 UTC

Marie Skłodowska-Curie PhD Student Position: VR/AR Video over 5G

Nokia Bell Labs | Madrid, Spain

Nokia Bell Labs is a global research community which has been changing the world of information technology for more than a century through the release of breakthrough inventions such as modern information theory, the transistor, the laser and the UNIX operating system. Nokia Bell Labs in Madrid, Spain, is participating in the European project TeamUp5G (New RAN TEchniques for 5G UltrA-dense Mobile networks), an H2020 funded project part of the prestigious Marie Skłodowska-Curie Action (MSCA), Innovative Training Network (ITN) type. We are searching for an Early Stage Researcher (ESR) willing to develop a full PhD in an industrial environment within this project, focused on the real time immersive video (360/VR/AR) on top of dense 5G networks. The work will address one or several steps of a multimedia communication process within this scenario: multi-camera capture, real-time video analysis (machine learning) on the network edge, optimization of video transmission under low-latency networks, rendering of complex XR environments, analysis of QoE. Requirements: University degree on computer science, electrical engineering or related. Admission requirements for PhD program (MSc or equivalent). The researcher is expected to start the PhD program immediately after the hiring. Good knowledge of digital video technology, preferably in the specific area of immersive media (360 video, VR or AR). A good technical base of communication protocols is also desirable. Experience with Machine Learning will be positively valued. Other relevant technology areas which are considered positive for this position are: mobile network architecture, distributed media processing, edge computing and virtualization (cloud computing). Excellent oral and written proficiency in English (Spanish is optional). Requirements from Marie Skłodowska-Curie ITNs: At the time of appointment, applicants may not have resided or carried out their main activity (work, studies) in Spain for more than 12 months in the 3 years immediately before their recruitment. Early-Stage Researchers (ESRs) must, at the date of recruitment by the beneficiary, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. The selected candidate will receive a 36-month, full-time employment contract as per Marie Skłodowska-Curie Actions regulations for ESRs. Yearly gross salary range: €31,000 - €34,000. Additional family allowance available where applicable.

More info | Contact: | Posted on: 2019-02-21 12:47:10 UTC

3D vision and machine learning - Research scientist

NAVER LABS Europe | Grenoble, France

The 3D Vision group is currently inviting applications from scientists who are excited about contributing to research in areas related to 3D vision and machine learning. In detail, we are looking for motivated researchers to investigate how traditional 3D vision methods can be improved using modern machine learning techniques. Related research fields include camera pose estimation, VSLAM, VIO, visual localization, 3D mapping, 3D scene understanding and 3D reconstruction.

More info | Contact: Martin Humenberger | Posted on: 2019-02-21 12:45:41 UTC

Computer Vision Engineer/Scientist

SafeAI | San Francisco, California

Description of the job : We are a newly VC funded startup in the Bay Area (the top VC's in our domain), searching for a Computer Vision Engineer to join our research team. You will be working with the existing computer vision team. Qualifications and Experience: MS/Ph.D. degree, experienced in localization, mapping, computer vision, visual odometry/vSLAM, CNNs, autonomy perception. Visa sponsorship (H1B/Green card) and transfer are available for people who are already in the US. Competitive salary and stock options, full benefits Contact:lalin@safeai.ai

More info | Contact: Lalin Theverapperuma (co-founder) | Posted on: 2019-02-17 05:53:20 UTC

Senior/Lead Computer Vision Engineer/Scientist

SafeAI | San Francisco, California

We are a newly VC funded startup in the Bay Area (the top VC's in our domain), searching for a Senior Computer Vision Engineer to join our core research team. You will be uniquely positioned in our team to work on large-scale autonomous problems with computer vision-based reinforcement learning. You will be leading the existing computer vision team. Qualifications and Experience: MS/Ph.D. degree and 5+ years of industry experience experienced in localization, mapping, computer vision, visual odometry/vSLAM, CNNs, autonomy perception. Visa sponsorship (H1B/Green card) and transfer are available for people who are already in the US. Competitive salary and stock options, full benefits Contact:lalin@safeai.ai

More info | Contact: Lalin Theverapperuma (co-founder) | Posted on: 2019-02-17 05:51:17 UTC

Two postdoc positions in image processing and deep learning for analysis and interpretation of variation locked within the visible anatomy of the human hand

Lancaster University | Lancaster, UK

This exciting research opportunity has arisen directly from the ground-breaking research undertaken by Prof Dame Sue Black in relation to the forensic identification of individuals from images of their anatomy that are captured primarily within IIOC (indecent images of children). To assess the evidential robustness of hand identification in the court room requires that the degree of ‘uniqueness’ in the human hand be assessed through large volume image analysis. The research opens up the opportunity to develop new and exciting biometric capabilities that have a wide range of real-world application, from security access through to border control whilst assisting the investigation of serious and organised crime on a global level. We are seeking to appoint two Senior Research Associate to work on the ERC-funded project (H-unique) led by Lancaster University. H-unique is a five year, €2.5M programme of research and will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation. It will be an interdisciplinary project, supported by anatomists, anthropologists, geneticists, bioinformaticians, image analysts and computer scientists. We will investigate inherent and acquired variation in search of uniqueness, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies (genetics, development, environment, accident etc). Hard biometrics, such as fingerprints, are well understood and some soft biometrics are gaining traction within both biometric and forensic domains (e.g. superficial vein pattern, skin crease pattern, morphometry, scars, tattoos and pigmentation pattern). A combinatorial approach of soft and hard biometrics has not been previously attempted from images of the hand. We will pioneer the development of new methods that will release the full extent of variation locked within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro-engineered multimodal biometric. A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the hand is not in a standard position or when either the resolution or lighting in the image is not ideal. Large datasets are vital for this work to be legally admissible. Through citizen engagement with science, this research will collect images from over 5,000 participants, creating an active, open source, ground-truth dataset. It will examine and address the effects of variable image conditions on data extraction and will design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality. This will provide a major novel breakthrough in the study of anatomical variation, with wide ranging, interdisciplinary and transdisciplinary impact. We invite applications from enthusiastic individuals who have a PhD or equivalent experience in a relevant discipline such as Computer Science or Electrical Engineering. You must be able to demonstrate a research background in the area of image processing, computer vision, and/or deep learning. Familiarity with biometric image analysis methods and machine learning/deep learning frameworks will put you at an advantage. We will also value highly your ability to learn rapidly and to adapt to new technologies beyond your current skills and expertise.

More info | Contact: Dr Hossein Rahmani | Posted on: 2019-02-17 05:49:22 UTC

Postdoctoral fellow for deep learning applied to 3D printing with biomaterials

Singapore University of Technology and Design (SUTD) | Singapore

We are excited to announce the postdoc job opening for a new project on developing deep learning models to predict and compensate biomaterial inconsistency in 2D printing. Start date is 1st of July 2019. We are seeking a postdoctoral fellow to work on a research project related to deep learning models applied to biomaterial deformation predictions. The PIs of the project include Prof. Javier Fernandez, Prof. Stylianos Dritsas and Prof. Gemma Roig. The position is for one year extendable to 3 years. Key requirements for the position: - PhD in computer Science, applied mathematics or related fields. - Strong record of publication record in tier 1 conferences and journals - Strong knowledge in machine learning (deep learning, RNN, LSTMs) - Excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries - Experience in 3D reconstruction and collecting 3D data, - Interest in biomaterials for 3D printing, - Knowledge of high performance distributed computing. Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar [at] mit [dot] edu. Include CV, 3 selected publications, grades and email address of at least 1 reference. Please include in the email subject: [SUTD postdoc].

More info | Contact: Gemma Roig | Posted on: 2019-02-15 03:19:16 UTC

Software Developer - Computer Vision/Deep Learning

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. in San Diego is seeking an experienced engineer to join the team which is responsible for developing the software for next generation mobile and computer vision systems. The ideal candidate should have passion for writing quality code and will be working on the architecture and implementation of Computer Vision/Deep Learning algorithms for embedded platforms.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:17:13 UTC

Image Signal Processing Systems Engineer

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. is looking for passionate and experienced systems engineers with in-depth knowledge on Image Signal Processing (ISP) pipeline design. Be part of a team that designs Exynos ModAP chip sets powering various mobile devices and cars. The team is developing ISP algorithms and exciting new imaging technologies for mobile devices. Duties include designing new algorithms, architectures, and systems for imaging processing.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:16:32 UTC

Computational Photography Systems Engineer

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. is looking for passionate and experienced systems engineers with in-depth knowledge on computational photography in San Jose or San Diego. Be part of a team that designs Exynos ModAP chipsets powering various mobile devices and cars. The team is developing computational imaging algorithms and exciting new imaging technologies for mobile devices. Duties include designing new algorithms, architectures, and systems for image processing.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:15:45 UTC

Computer Vision & Camera Systems Engineer

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. is looking for passionate and experienced systems engineers with in-depth knowledge on image/video signal processing and computer vision algorithms. Be part of a a team that designs Exynos ModAP chipsets powering various mobile devices and cars. Develop computer vision and camera signal processing technologies such as High Dynamic Range, Low Light Photography, Shallow Depth of Field, Super-Resolution Image, Video Stabilization, and Visual Odometry, etc.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:14:49 UTC

Deep Learning Engineer – Speech & Language Processing

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. in San Diego is searching for systems engineers and computer scientists for algorithm development. Work as part of a team on the research, system design, and implementation of algorithms for application processors and multimedia processors. Conduct research for automatic speech recognition and/or natural language processing algorithm development. Candidate is preferred to have goods hands-on experience with machine learning and deep learning algorithm development.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:13:53 UTC

Research Engineer-Deep Learning Theory and Algorithms

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. in San Diego is searching for research engineers at all levels. Work as part of a team on research and development of algorithms and theory of machine learning. Research fundamental theoretical aspects of deep learning as well as develop novel techniques to advance the theory and practice of deep learning. Apply the developed theory and algorithms to advance the performance of multimedia applications, such as computer vision, augmented reality, natural language processing, or speech processing.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:12:58 UTC

Deep Learning – Computer Vision

Samsung Semiconductor, Inc. | San Diego

Samsung Semiconductor, Inc. in San Diego is searching for systems engineers and computer scientists for research and algorithm development. Work as part of a team on the research, system design, and implementation of algorithms for application processors and multimedia processors. Conduct research in deep machine learning techniques and find solutions for computer vision, image and video processing. Candidate is preferred to have goods hands-on experience with machine learning and deep learning algorithm development.

More info | Contact: Janice Antinone | Posted on: 2019-02-15 03:12:04 UTC

Research Scientists/Engineers/Interns (Multiple)

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

More info | Contact: Fahad Khan | Posted on: 2019-02-13 15:27:59 UTC

Perception Research Intern/Engineers/Scientist (Multiple)

WeRide.ai | Sunnyvale, CA

WeRide.ai Silicon Valley team is looking for a Perception engineer to implement the next generation automotive vision and machine learning algorithms. About us: WeRide.ai was founded in Silicon Valley in April 2017 and established its global headquarters in Guangzhou, China. WeRide’s mission is to promote the development of smart mobility that will make transportation safer, more efficient, more affordable, and more leisurely. We strive to become China’s leading smart mobility company by creating world-class smart vehicles through an integrated value chain that will benefit the country, the consumers, the company and the individual. WeRide.ai recently closed Series A funding round led by Alliance Ventures, the strategic venture capital arm of Renault-Nissan-Mitsubishi, and we're looking for a Senior Software Engineer to join our Onboard Infrastructure team and help building the next generation of the autonomous driving platform. Responsibilities: ·Participate in cutting edge research in computer vision. ·Develop novel real-time 3D scene reconstruction techniques and delivering accurate visual odometry systems. ·Apply machine learning to computer vision problems. ·Research and prototype techniques and algorithms for object detection and recognition. ·Develop robust software for integrating multiple source of sensors and tracking systems. ·Prototype hardware and software solutions for tracking, detection and modeling. ·Perform research that enables modeling and tracking the human body ·Human body modeling, actively recognition, tracking Requirements: ·MS/PhD degree in a relevant field of study (e.g., Computer Science, Computer Engineering) ·Solid programming skills in C++ ·Experience with Deep Learning ·Deep understanding of automotive camera sensor technologies, interfaces, data formats ·Knowledge of object tracking and data association, sensor fusion, estimation, scene recognition ·Generation and tracking of key performance indicators and regression testing ·Experience working on robotic and/or automotive electronics hardware is a plus Preferred to have: ·Previous experience in developing automotive vision a plus (lane tracking, vehicle detection and tracking, traffic light/sign detection, ground plane estimation) ·Experience with existing ADAS technologies such as adaptive cruise control, automatic emergency braking, and lane keeping ·Understanding of ADAS sensors such as radar, camera, ultrasonic, and lidar, including the measurement and data-reduction, target identification and environmental synthesis, and sensor fusion ·Previous use or contributions to open source computer vision libraries, such as OpenCV ·Previous use of machine learning frameworks such as Caffe and TensorFlow ·Skilled knowledge with parallel programming in CUDA or OpenCL ·Experience in dealing with large scale of data, data storage/management/processing

More info | Contact: Senior Recruiter: Yi Xie | Posted on: 2019-02-13 15:26:01 UTC

Computer Vision Intern

JD.COM | Mountain View, CA

JD.com, Inc. one of the world largest e-commerce companies is developing the next generation, fully automated fulfillment infrastructure. JD’s X Division (JD-X) is responsible for the development of automated fulfillment capabilities including warehouse automation technologies such as warehouse transportation and manipulation robots, autonomous ground delivery vehicles and autonomous aerial delivery vehicles (i.e. delivery drones). JD-X Silicon Valley Research Center (Mountain View, CA) is seeking motivated Computer Vision Intern to join our Multi-Modal Perception Team and solve the challenges posed by real-time robotic systems. Experience with real-time robotic systems is preferred, especially in the area of robotic manipulation.

More info | Contact: John Alas | Posted on: 2019-02-08 15:13:47 UTC

Three postdoc positions in deep learning for video analysis @ Oxford Brookes University

Visual Artificial Intelligence Laboratory | Oxford, UK

The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a postdoctoral researcher in deep learning for computer vision in surgical robotics, to be appointed as soon as possible, on a contract ending Dec 31 2020. Salary: £31,302, rising annually to £34,188 The deadline for application is 28 February 2019. The Visual Artificial Intelligence Laboratory (http://cms.brookes.ac.uk/staff/FabioCuzzolin/) has established itself as one of the top research groups in the world in deep learning for action detection, conducting work at the current boundaries of human action recognition. Our algorithms hold the best detection accuracies to date, and the team recently designed the first system so far able to localise multiple actions on the image plane in (better than) real time (52fps) on a single GPU. Our work has won several awards in recent years. The team classified 2nd in both the CVPR 2016 ActivityNet detection challenge (http://activity-net.org/challenges/2016/program.html#leaderboard) and the CVPR 2017 Charades challenge (http://vuchallenge.org/charades.html), in collaboration with Disney Research, and behind Deepmind’s team Kinetics. We just published two works in this area at ICCV 2017, and are currently planning a number of PAMI and IJCV journal papers. Some former PhD students in the Lab have moved on to postdoc positions at Oxford, Stanford and ETH Zurich. You will join a vibrant and fast growing team projected to comprise 15-20 people in 2018-19. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. The group collaborates with various companies including Huawei, Cisco, Cortexica, AnyVision and Sportlate, and is in the process of spinning off a company in the area of action detection. We closely work with Oxford Brookes’ MOReS and the Cognitive Robotics research groups, Cambridge Neuroscience, as well as Oxford University’s Torr Vision Group and Computer Science Department, and have established links with IIT Bombay, Harvard, Seoul National, and numerous European partners. For our current computer vision work, please take a look at: http://cms.brookes.ac.uk/staff/FabioCuzzolin/projects-vision.html For our recent relevant publications on PAMI, IJCV, BMVC and ICCV please see: http://cms.brookes.ac.uk/staff/FabioCuzzolin/pubs.html in particular our most recent papers: https://arxiv.org/abs/1704.04952 , https://arxiv.org/abs/1807.11332 and http://openaccess.thecvf.com/content_ICCV_2017/papers/Singh_Online_Real-Time_Multiple_ICCV_2017_paper.pdf The postdocs and research associate will work as part of the Horizon 2020 SARAS project, Smart Autonomous Robotic Assistant Surgeon (http://saras-project.eu/), of which Prof Cuzzolin is overall Science Officer. You are encouraged to contact Prof Cuzzolin at fabio.cuzzolin@brookes.ac.uk for more information and an informal feedback on your application. To formally apply, please follow the instructions provided here: https://www.jobs.ac.uk/job/BPT941/postdoctoral-researcher-in-deep-learning-for-activity-recognition

More info | Contact: Fabio Cuzzolin | Posted on: 2019-02-08 02:40:19 UTC

Research Scientist and Internship Positions

Inception Institute of AI | Abu Dhabi, UAE

Multiple Research Scientist positions and PhD Internships are available with the Inception Institute of AI’s (IIAI) Video Processing team led by Prof. Jianbing Shen. RESEARCH SCIENTIST applicants should have a PhD in CV/ML or closely related areas with prior publications in top CV/ML/NLP conferences and journals (e.g. CVPR/ICCV/NeurIPS/ACL/ MICCAI/TPAMI etc). At IIAI, scientists and engineers work together to solve complex problems and we seek a team player who has prior experience in working interdependently. RESEARCH INTERN applicants are expected to be matriculated PhD students who have taken courses in CV/ML/NLP, and have strong fundamentals in related areas such as probability theory and linear algebra. All applicants are also expected to have strong experience in working with the usual programming tools in the CV/ML areas such as Python, C++, OpenCV, TensorFlow, PyTorch etc. We work closely with interns with the goal of publishing at top conferences and journals. Interns also participate in our reading groups for further enriching their experience. APPLICATION: Please contact Dr. Wenguan Wang at wenguanwang.ai[at]gmail.com with your CV. BENEFITS: IIAI offers highly competitive tax-free salary with additional perks at all levels. Interns receive air tickets, accommodation, and a competitive tax-free stipend. ABOUT IIAI: IIAI (http://www.inceptioniai.org/) is a new research institute in Abu Dhabi, UAE. Our employees and interns benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in all areas of computer vision. Our scientists and engineers are approachable at all times and collaboration and discussions are highly encouraged. IIAI has a bold vision for its future and right now is an excellent time to join. ABU DHABI: Capital of UAE, Abu Dhabi is a family-friendly city that offers the right balance between megacity-convenience in a small-town liberal setting with easy access to two major international airports (Abu Dhabi and Dubai) offering non-stop flights to all parts of the world. With several pristine beaches, world-class restaurants, a mangrove national park within the city and mountains a short distance away, Abu Dhabi offers superb opportunities for work and play.

More info | Contact: Wenguan Wang | Posted on: 2019-02-08 02:31:08 UTC

Lead Software Engineer, Detection at Argo AI

Argo AI | Palo Alto, CA

Detection is one of the main challenges for self-driving vehicles and a key part of our autonomy stack. Self-driving cars need to detect objects and actors around the vehicle to make the correct decisions. The implementation must meet rigorous real time constraints and reliably report detections in 2D spaces. Close interaction with downstream teams such as tracking and prediction.. Ultimately, we must not only solve the algorithm challenges but produce safety-quality high performance software. So this position is as much a software challenge as it is a core algorithm challenge. What we're looking for: Degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Physics, Robotics or a related field Strong software engineering skills are required but we are language agnostic. A willingness to gain stronger software engineering knowledge and deep expertise in C++ and/or python is required Strong leadership skills suitable for recruiting, leading and managing a team of engineers to solve a challenging problem and build a critical component of a real-time system Strong theoretical and applied knowledge of relevant subsets of detection algorithms Strong desire for candidates with hands on experience that have deployed real products or platforms into the real world and intimately understand the challenges of working with complex systems Strong presentation and communication skills are desired Please check website for full job description.

More info | Contact: Charles Griffen | Posted on: 2019-02-06 11:20:49 UTC

Technical Lead Manager, Perception: Tracking at Argo AI

Argo AI | Pittsburgh, PA

We are looking for hands on candidates who can set the vision for, grow, and lead a strong technical team with a mix of vision, probabilistic filtering and LiDAR algorithm experience and strong software experience. We are looking for a team lead who will be deep in code, and is technically strong in software and strong in tracking algorithms -- segmentation, clustering, data association, multi-extended object tracking and filtering, MHT or other registration algorithms. Candidates need not have worked on self-driving, or robotics applications. What you’ll do: Responsible for the component of the self driving vehicle keeping track in space and time of objects around the car and estimating their velocities Leading the team to advance the algorithmic performance through pragmatic and rigorous A vs B evaluations using a mix of state of the art or “classical” techniques Ensure that the algorithms are integrated within our onboard infrastructure and hardware, are robustly implemented and run in real time Coordinate with data collection to select and label relevant data to improve our tracking algorithms and develop metrics by which the tracking system is evaluated Manage a team of ~7 engineers and researchers Please check website for full job description

More info | Contact: Charles Griffen | Posted on: 2019-02-06 11:19:44 UTC

PhD - Biomedical Image Analysis

Graduate School CompCancer | Berlin, Germany

CompCancer is a PhD program that focusses on computational aspects of cancer research. Contemporary cancer research generates enormous data sets characterizing tumors at unprecedented molecular details. To integrate and interpret these new layers of data, computational methods are becoming central to cancer research. Potential image analysis PhD projects in CompCancer involve e.g. interpretable machine learning, learning from limited training data, cell segmentation and tracking, and integrated analysis of imaging and omics data.

More info | Contact: Dagmar Kainmueller | Posted on: 2019-02-05 12:24:13 UTC

Principal / Senior / Applied Research Scientist - Computer Vision

JD.COM | Mountain View, CA

JD.com, Inc. one of the world largest e-commerce companies is developing the next generation, fully automated fulfillment infrastructure. JD’s X Division (JD-X) is responsible for the development of automated fulfillment capabilities including warehouse automation technologies such as warehouse transportation and manipulation robots, autonomous ground delivery vehicles and autonomous aerial delivery vehicles (i.e. delivery drones). JD-X Silicon Valley Research Center (Mountain View, CA) is seeking motivated Computer Vision scientist to join our Multi-Modal Perception Team and solve the challenges posed by real-time robotic systems. Previous experience with real-time robotic systems is preferred, especially in the area of robotic manipulation. Visa sponsorship (H1B/Green card) and transfer is available for people who are already in US. Competitive salary and benefits.

More info | Contact: John Alas | Posted on: 2019-02-05 12:22:29 UTC

Principal Sensor Fusion Engineer

Velodyne LiDAR | San Jose, CA

Velodyne Lidar is seeking a sensor fusion engineer who will lead the development of real-time ego-motion estimation and localization modules for Autonomous Vehicle applications. Responsibilities Develop an ego-motion estimation and localization system by fusing GPS, INS, Lidar or Visual odometry. Developing and optimizing software architecture for real-time performance. Working with large amounts of real and simulated data to continuously iterate over the system and computational performance. Performing in-vehicle tests, capturing data and completing autonomous drive missions. Developing unit tests, documentation for features, evaluating quality and proposing corrective actions. Qualifications and Experience MS/PhD degree and 5+ years of industry experience Experienced in localization, mapping, computer vision, visual geometry, LIDAR perception, SLAM, or relevant field. Experienced in following best practices for software engineering. Have expert-level programming and debugging skills in C++. Good communications and analytical skills. Highly Desired Skills/Experience Experience developing real-time localization solutions for AV use cases. Experience fusing data from different sensor modalities (e.g. GPS,IMU, Images and LIDAR data) to estimate odometry with high accuracy. Software development on embedded platforms.

More info | Contact: Dan Patel | Posted on: 2019-02-05 12:21:03 UTC

Computer Vision and Machine Learning Intern

Intuitive Surgical Inc. | Sunnyvale, CA, USA

Description: Intuitive Surgical is the manufacturer of the da Vinci surgical robot, a minimally invasive surgical system used in over 5 million procedures worldwide. We are looking for a Computer Vision and Machine Learning intern to join our applied research team in Sunnyvale, California this summer for between 3-6 months. We look for hands-on candidates who are excited about building state-of-the-art real-time computer vision systems to solve a wide range of problems in robotic surgery. Experience with deep learning toolkits such as Tensorflow and PyTorch are essential while C++ and CUDA programming skills are an added bonus.

More info | Contact: Max Allan | Posted on: 2019-02-05 12:17:30 UTC

Computer Vision Software Engineer

AlgoFace | Troy, MI

AlgoFace mission is to develop bleeding edge Computer Vision/Augmented and Artificial Intelligence solutions for businesses. We are looking for full time computer vision software engineer with strong c++ programming skills to deploy state of the art computer vision and machine learning techniques that running on the edge in real-time. Required Skills: Advanced experience in building computer vision real-time algorithms to work on Mobile apps for iOS and/or Android. +2 years experience in Computer vision and image processing libraries in c++ such as openCV, Dlib. Great bonus to have experience in mobile phone image processing and computer vision libraries such as GPU-Image, OpenGl for iOS libraries besides Objective-C and/or Swift for iOS; The same or corresponding libraries for Android. +2 years experience in Machine learning and deep learning development knowledge for mobile phone application that runs in real time such as CoreML for iOS. Troy, MI No remote work available. Visa sponsorship (H1B/Green card) and transfer is available for people who are already in US. Competitive salary and benefits Contact: info@algoface.ai

More info | Contact: Taleb Alashkar | Posted on: 2019-02-02 01:36:03 UTC

computer vision/machine learning researchers and software engineers

AnyVision, UK | Belfast UK

AnyVision Research UK is a world leading team of scientists and engineers that creates AI for the Real World. With deployments and clients spanning the globe, we are recognised as leaders in the fields of Face recognition, Object recognition, Object detection, and Visual Target Tracking. As we grow in scope and ambition in 2019, we invite highly motivated, world class computer vision researchers to apply to join us. Open positions: junior/senior computer vision researcher/engineer ( https://lnkd.in/gq_4aCR ) junior/senior machine learning researcher/engineer ( https://lnkd.in/gx_J8-u ) Senior Computer Vision Researcher (Face recognition) ( https://lnkd.in/gAFpkv6 ) Applied A.I. Researcher (Python/C++) ( https://lnkd.in/grZn6A2 ) Senior Developer/Software Engineer (C++) ( https://lnkd.in/g2mNHUg ) The links above are the requirements for each position. Benefits: Salary is negotiable and highly competitive.

More info | Contact: Dr. Rolf Baxter | Posted on: 2019-01-31 13:22:44 UTC

Senior Scientist - Computer Vision, Deep Learning and Perception

Vision Technologies and Solutions, Siemens Corporate Technology | Princeton, NJ

The Vision Technologies and Solutions group within Siemens Corporate Technology has an immediate opening in Princeton, NJ for a Senior Research Scientist with a focus on Computer Vision, Deep Learning and Perception. This role is an exciting opportunity to join a newly formed team and contribute to its future growth. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences such as CVPR, ICCV, ECCV, etc.

More info | Contact: Batu Arisoy | Posted on: 2019-01-31 13:20:10 UTC

Computer Vision/Machine Learning Researchers and Software Engineers

AnyVision, UK | Belfast UK

More info | Contact: Rolf Baxter | Posted on: 2019-01-31 02:54:12 UTC

Research Intern - Computer Vision

Hikvision Research America @ Santa Clara | CA, USA

Description: Hikvision is a world leading IoT solution provider, with computer vision as the core technology. We have a computer vision internship opportunity available and are seeking for talents to join the team at Hikvision Research Institute, Santa Clara, USA. Ideal candidates for this position have a PhD or MS in a field related to artificial intelligence as well as publications at conferences such as ICCV, CVPR, NIPS, AAAI, etc. As a research intern at Hikvision, you will have the opportunity to develop new ideas for academic publication. The research topics include but not limited to image processing and enhancement, 3D reconstruction, SLAM-related problems. If interested, please send me your resume at zhe.hu@hikvision.com.

More info | Contact: Zhe Hu | Posted on: 2019-01-30 12:59:27 UTC

Sr. Technical Manager, Computational Imaging

SRI International | Princeton, NJ

SRI International is a nonprofit, independent research center serving government and industry. We work on some of the world’s most important problems, collaborating across technical disciplines to spark new ideas and solutions. From the computer mouse to robotic surgery, cancer treatments, Siri, and more, SRI's 70 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. SRI’s Center for Vision Technologies (CVT) works in technologies and applications covering the spectrum from low-level vision to high-level vision. We pride ourselves in pushing the frontiers of R&D in Video and Vision Technologies with the goal of “making Vision work in the real world”. If you dream of making robots see and navigate, search the Web’s pictures and videos, train and educate people with augmented reality, understand “who, what, where and how” through Vision, and have the skills and aptitude to work on challenging problems, SRI may be the place for you. The Vision Systems lab within CVT is currently searching for a Sr. Technical Manager to join their team. The Sr. Technical Manager will lead the group in the development of computational imaging technologies, programs and intellectual property. The position will be expected to seek and champion new business opportunities based around the technical capabilities of the group, work with government and commercial clients to develop solutions to their requirements leveraging real-time vision capabilities, and work with technical staff and technology to develop new state of the art technologies that can be exploited to bring in new business opportunities. If you are interested in applying to this position, please visit the Careers section of our website at https://www.sri.com/careers and search Job ID 2022BR. You can also email erica.saunders@sri.com.

More info | Contact: Erica Saunders | Posted on: 2019-01-30 12:57:44 UTC

PhD Research Internship

Scape Technologies |

In this 3-6 month paid PhD internship you will have the opportunity to work on research in a startup environment, tackling problems related to city-scale localisation. We are looking for curious and enthusiastic computer vision scientists who are keen on working on moonshot projects. You will have access to the powerful cloud infrastructure of Scape Technologies and work autonomously under the supervision of renowned computer vision researchers. You will be expected to work towards the submission of a high quality conference paper at a top conference (e.g., CVPR, NIPS, ICCV).

More info | Contact: Vassileios Balntas | Posted on: 2019-01-30 12:55:36 UTC

PhD - Probabilistic graphical models for Multi-agent systems

Robert Bosch GmbH | Renningen, Germany

Understanding the behavior of multiple agents in an environment is of great importance for various applications such as autonomous driving. One powerful tool for studying such behaviors is game theory. However, most of the game theoretic approaches are computationally expensive and may not provide accurate predictions. Therefore, applying side information such as expert knowledge about the dependencies between different features of the dynamic can greatly reduce the computational expenses and improve the accuracy. Probabilistic graphical models (PGMs) are promising for encoding such side information and systematic treatment of uncertainty in a dynamic environment.

More info | Contact: Michael Streitmayer | Posted on: 2019-01-30 12:50:50 UTC

PhD – Robust Deep Learning

Robert Bosch GmbH | Renningen, Germany

Deep Learning is regarded as one of the key enabling technologies for autonomous driving. Analyzing existing algorithms with respect to their robustness is therefore vital for the development of safe products. The newly founded Bosch Center for Artificial Intelligence (BCAI) offers the perfect environment for PhD students to apply modern mathematical tools to machine learning problems and thus, going the next important step in making the human dream of autonomous driving a reality

More info | Contact: Michael Streitmayer | Posted on: 2019-01-30 12:49:47 UTC

Research Scientist Deep Learning

Robert Bosch GmbH | Renningen, Germany

More info | Contact: Michael Streitmayer | Posted on: 2019-01-30 12:48:40 UTC

Deep Learning Researcher - Generative Models for Automated Driving

Robert Bosch GmbH | Renningen, Germany

More info | Contact: Michael Streitmayer | Posted on: 2019-01-30 12:47:51 UTC

PhD - Sabbatical in Deep Learning Perception for Autonomous Driving

Robert Bosch GmbH | Renningen, Germany

The Deep Learning group at the Bosch Center for Artificial Intelligence (BCAI) provides the opportunity for PhD students in the field of machine learning to perform an industry sabbatical for 3 - 12 months. Bosch, as one of the worldwide leading companies in the field of autonomous driving provides a unique experience to see where state-of-the-art AI techniques can be applied for the mobility of the future. At BCAI we build the foundation to generate real-world impact through cutting edge deep learning, with a strong focus on making neural networks for perception more safe, robust, and explainable. During the PhD sabbatical you will get the chance to develop and implement novel deep learning algorithms, and evaluate them on multi-modal open and Bosch datasets. Together with BCAI researchers you will perform original research, theoretical investigations, and aim to publish at top conferences.

More info | Contact: Michael Streitmayer | Posted on: 2019-01-30 12:46:43 UTC

Research Internship at Adobe Research

Adobe Research | San Jose, CA

We are looking for a research intern (for spring/summer 2019) to explore a project in the areas of neural network model compression, model pruning, efficient architecture design/search, and applications to computer vision tasks such as classification and segmentation. As a research intern at Adobe, you will have the opportunity to develop new ideas suitable for academic publication, with the added potential of contributing to Adobe’s product line, and consequently reaching millions of computer users worldwide. The ideal candidates should be in a MS/PhD program in a university focusing on deep learning and computer vision, and have hands-on experience on training neural network models for vision tasks such as classification and semantic segmentation, and have interest in developing efficient model architectures. Adobe Research internships provide valuable work experience to enhance intern's academic pursuits. You will learn from the best while working in a fun and creative environment.

More info | Contact: Zhe Lin | Posted on: 2019-01-28 11:48:38 UTC

Computer Vision Software Engineer for Mobile Application

AlgoFace | Troy, MI

AlgoFace mission is to develop bleeding edge Computer Vision/Augmented and Artificial Intelligence solutions for businesses. We are looking for full time computer vision software engineer with experience to develop iOS/Android applications that deploys state of the art computer vision and machine learning techniques that running on the edge in real-time. Required Skills: Advanced experience in building computer vision real-time algorithms to work on Mobile apps for iOS and/or Android. +2 years experience in Computer vision and image processing libraries for mobile application knowledge such as openCV for iOS and GPU-Image, OpenGl for iOS libraries besides Objective-C and/or Swift for iOS; The same or corresponding libraries for Android. +2 years experience in Machine learning and deep learning development knowledge for mobile phone application that runs in real time such as CoreML for iOS, Tensorflow Lite, MobileNet V2, Nice to have: +1 year experience in Computer vision and machine learning algorithm development for web to run on the browser such as OpenCV.js Convnet.js and webDNN Work location: Troy, MI No remote work available. Visa sponsorship and transfer is available for people who are already in US. Competitive salary and benefits Contact: info@algoface.ai

More info | Contact: Taleb Alashkar | Posted on: 2019-01-28 11:47:29 UTC

Research Internships (multiple positions in computer vision, machine learning, and robotics)

Honda Research Institute USA Inc. | Mountain View, CA

HRI-US (Silicon Valley) is offering research internships to highly motivated Ph.D. (and qualified M.S.) students. Interns will work closely with HRI researchers, and publishing results in academic forums is highly encouraged. We are looking for candidates with good publication track records and excellent programming skills to join our team. We have multiple openings for summer internship positions in the following topics: [P18INT-01] Human Behavior / State Understanding, [P18INT-02] Computer Vision and Machine Learning in Traffic Scenes, [P18INT-03] Explainable AI, [P18INT-04] Human Machine Interface, [P18INT-05] Motion Planning / Decision Making, [P18INT-06] Robotics: Manipulation, [P18INT-07] Robotics: Physical Human-Robot Interaction, [P18INT-08] Robotics: Machine Learning for Navigation. Please see our website (https://usa.honda-ri.com/intern-positions) for more details.

More info | Contact: Chiho Choi | Posted on: 2019-01-26 13:24:04 UTC

Computer Vision Researcher Intern

Kitware, Inc | Clifton Park, NY

Interns will be able to explore their own ideas to address challenging real-world computer vision problems, and will be encouraged to publish the results of their work in academic papers submitted to premier conferences. In addition, interns can also focus on contributing high-quality software to the KWIVER platform (http://www.kwiver.org/), an exciting, open source, and versatile platform for computer vision research and development. Project Areas: Algorithms: Deep learning and other computer vision methods for object detection, change detection, scene classification, event/activity recognition, 3D reconstruction from aerial imagery, video/image understanding, video/image search, and indexing, etc - Data: Images and videos from ground, handheld, aerial, or satellite cameras - Infrastructure: Opportunity to work on deep learning libraries like Caffe, PyTorch or Tensorflow; large-scale computer vision framework on the cloud; or performance optimization using GPUs, parallel computing, or embedded devices such as NVIDIA’s TX2.

More info | Contact: John Westbrook | Posted on: 2019-01-26 13:21:37 UTC

Research Scientist - Deep Multimedia Analysis

Vision Technologies and Solutions, Siemens Corporate Technology | Princeton, NJ

The Vision Technologies and Solutions group within Siemens Corporate Technology has an immediate opening in Princeton, NJ for a research scientist with a focus on Deep Learning for Multimedia Analysis. This role is an exciting opportunity to join a newly formed team and contribute to its future growth. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences such as CVPR, ECCV, ICCV, etc.

More info | Contact: Batu Arisoy | Posted on: 2019-01-26 13:19:07 UTC

Research Scientist - Computer Vision, Deep Learning, Perception

Vision Technologies and Solutions, Siemens Corporate Technology | Princeton, NJ

The Vision Technology and Solutions group within Siemens Corporate Technology has an immediate opening in Princeton, NJ for a research scientist with a focus on Deep Learning for Computer Vision and Image Analytics. This role is an exciting opportunity to join a newly formed team and contribute to its future growth. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences.

More info | Contact: Batu Arisoy | Posted on: 2019-01-26 13:18:16 UTC

AI Research Scientists/Engineers

Jilian Technology Group (Video++) | Shanghai

Description of the Job: We are looking for deep learning scientists/engineers with the following skills and experience. 1. MSc or PhD degree in a quantitative discipline such as computer science, software engineering, or related fields. 2. Research experience in one or more of the following: computer vision, image processing, video analysis, machine learning, deep learning, and related areas. Hands-on experience in researching the use of deep learning for solving problems in computer vision such as face recognition, object detection/localization, scene understanding. 3. Strong programming skills in C/C++, Python. Familiar with popular tools and packages such as OpenCV, NumPy, Scikit-Learn. 4. Proficiency in deep learning frameworks such as Caffe, TensorFlow, PyTorch, or Keras. 5. Ability to independently lead a research project. 6. Papers published in top international conferences or journals in related fields, winners of relevant international competitions, and relevant patents.

More info | Contact: Jiahui Zhao | Posted on: 2019-01-26 13:17:08 UTC

3D Researcher - Computer Vision

Kitware, Inc | Clifton Park, NY

Current 3D projects have an emphasis on aerial and satellite imagery sources, and capabilities are often adapted to other problem domains. There are also opportunities to collaborate on broader computer vision topics including content-based indexing and retrieval, object detection and tracking, video event and activity recognition, functional object recognition, social media understanding, video compression, and super resolution. We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs, as well as commercial efforts with leading technology companies. By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others.

More info | Contact: John Westbrook | Posted on: 2019-01-26 13:10:48 UTC

Computer Vision Researcher

Kitware, Inc | Clifton Park, NY

We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs, as well as commercial efforts with leading technology companies. By joining our team, you will be contributing your computer vision or machine learning expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others. Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Researchers and developers also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

More info | Contact: John Westbrook | Posted on: 2019-01-26 13:09:24 UTC

Research Scientists/Engineers/Interns (Multiple)

Inception Institute of Artificial Intelligence | Abu Dhabi, UAE

Multiple research scientists/engineer/intern positions are available with the Inception Institute of AI. The Inception Institute of Artificial Intelligence (IIAI) is a national-scale organization of the UAE aiming for breakthroughs in fundamental and applied AI research. Research Scientist Positions: To succeed in this role, you should have the following skills and experience: • PhD in Computer Vision/Machine Learning. • Publications in top CV/ML venues (CVPR/ICCV/ECCV, NIPS/ICML/ICLR). • Ability to work independently or with a team and enjoy hands-on work on practical problems. • Experience with Python, MATLAB, C++, OpenCV and deep learning libraries (PyTorch/Tensorflow/Keras/Caffe). Engineer/Intern Positions: To succeed in this role, you should have the following skills and experience: • BS/MS degree in Computer Science for research internship or engineer role. • Experience building systems based on machine learning and deep learning methods. • Ability to work independently or with a team and enjoy hands-on work on practical problems. • Experience with Python, MATLAB, C++, OpenCV and deep learning libraries (PyTorch/Tensorflow/Keras/Caffe). • Desirable: Knowledge and hands-on skills in the areas of Object Detection, Classification, Segmentation, Tracking and/or Image Processing (restoration, super-resolution etc.) . APPLICATION: Please send the following material by email to Fahad Khan (fahad.khan@inceptioniai.org) with subject prefix "Application for IIAI Positions:" followed by the relevant role: (1) A comprehensive CV, (2) Link to representative papers/reports that demonstrate your skills, (3) Include a link to Github profile or send link to sample code bases (in Dropbox/Google drive) developed primarily by you. BENEFITS: An extremely powerful GPU farm. Access to huge amounts of data across the country that can help you fulfill and fastrack your research into real-world scenarios. An enjoyable modern working environment with spectacular sea-view. Extremely competitive tax free salary.

More info | Contact: Fahad Khan | Posted on: 2019-01-23 15:55:32 UTC

Computer Vision Scientist/Engineer for Flying Cars

Daedalean AG | Zurich, Switzerland

Daedalean is a Zürich-based startup that combines computer vision, deep learning, and robotics to build a certified autopilot that outperforms human pilots. We are looking for computer vision engineers that can develop AI algorithms to completely and reliably replace the human pilot, only bound by the laws of nature, rules of the air and constraint of budget. If you are smart, have proven research and/or applied engineering skills, and get things done, get in touch with David at dh@daedalean.ai.

More info | Contact: David Haber | Posted on: 2019-01-23 15:54:09 UTC

Faculty Positions (all levels)

College of Science and Engineering, Hamad Bin Khalifa University | Doha, Qatar

The College of Science and Engineering at Hamad Bin Khalifa University (HBKU) invites applications for faculty positions at all levels in Machine Learning, Computer Vision, Visual Computing, and related fields. Hamad Bin Khalifa University is located in Education City, Doha, Qatar. HBKU, a member of Qatar Foundation for Education, Science, and Community Development, is a homegrown research university that is committed to innovative and unique collaboration with local and international partners. The College of Science and Engineering (CSE) at HBKU aims to be a world-class multidisciplinary college with significant positive impact on Qatar, the region, and globally, in the fields of science, engineering, and technology. The college also aims to serve societal needs, with a focus on an integrated multi-disciplinary curriculum and multi-disciplinary research in science and engineering. Successful candidates will conduct teaching, research and service to make HBKU a world-class research university and collaborate with faculty members and students to create a vibrant university community that will positively impact and contribute to the development of Qatar and the region by advancing knowledge in their field and developing human capacity through their teaching.

More info | Contact: Prof. Dr. M. Hamdi | Posted on: 2019-01-22 01:17:35 UTC

Computer Scientist & Intern Opportunities

SRI International | Princeton, NJ

More info | Contact: Erica Saunders | Posted on: 2019-01-19 13:13:19 UTC

Data Science Summer Internship (2 positions)

Corteva Agriscience™ | Johnston IA, USA

Corteva Agriscience™ is the name of the new Agriculture Division of DowDuPont™. We are bringing together DuPont Crop Protection, DuPont Pioneer and Dow AgroSciences to create a market-shaping, standalone agriculture company with leading positions in seed technologies, crop protection and digital agriculture. At Corteva Agriscience™, we seek to enrich the lives of those who produce and those who consume. Corteva Agriscience™, Agricultural Division of DowDuPont™, is seeking students for full-time summer internship within our global Data Science and Informatics group working on image analytics for digital agriculture. This position will be primarily geared towards application of machine learning/deep learning-based methods for image segmentation, object detection and classification of images from labs and field for accurate plant phenotyping. There is an immediate opening for 2 intern candidates who will play a role in configuring deep learning environment, agricultural data-preparation, data-visualization & basic data-science modeling for images. The intern candidate should demonstrate projects in the field of computer vision, pattern recognition, and/or machine learning with strong programming skills in C/C++ and Python. Interested candidates should apply directly at https://careers.dupont.com/jobsearch/job-details/data-science-intern/201476W-00/491183/ (Requisition ID - 201476W-00) .

More info | Contact: Srinivas Sridharan | Posted on: 2019-01-19 13:12:11 UTC

Research Intern Positions (Multiple)

Inception Institute of AI | Abu Dhabi, UAE

Multiple research intern positions are available to work at the intersection of Deep Learning, Computer Vision, and Medical Imaging. Prior coursework and experience in Deep/Machine Learning, Medical Imaging, or Computer Vision is required. Excellent programming skills in Python and comfort in reading and working with mathematics in machine learning literature are key requirements. We work closely with interns with the goal of publishing at top conferences and journals. Students who have strong understanding of generative modeling, image embeddings, bayesian analysis, deep learning on graphs, active learning etc are particularly encouraged to apply. Experience in working with and an understanding of MRI and CT images will be a plus. The internship is fully paid, including air tickets, accommodation, and a competitive monthly salary. Interns will have access to world-class compute infrastructure. The internships are at least 4-6 months long, with preference for interns who can commit for 6 months or more. For shorter internships, prior experience in our areas of interest and excellent programming skills will be necessary. The internships could convert to full time positions depending on the intern's performance. APPLICATION: Please send all of the following material by email to Shadab Khan (skhan.shadab [at] gmail). 1) CV 2) Any prior papers or project reports that outline your experience (if available) 3) If you have a GitHub profile, please include a link or upload code samples, that best demonstrate your coding abilities, to dropbox or google drive and include a link. Please feel free to include anything else that you feel is relevant. We realize no one is an expert at everything and any shortcoming in one area can be compensated by a strong expertise in another. ABOUT IIAI: IIAI is a new research institute in Abu Dhabi, UAE. Interns will benefit from an international, collegial work environment and abundance of availability of experts (>40 scientists and increasing) in pretty much all areas of computer vision.

More info | Contact: Shadab Khan | Posted on: 2019-01-18 16:21:44 UTC

R&D Internships in Vision/ML at Niantic, London

Niantic | London

Niantic's Research and Development team is seeking post-MSc or PhD-students, who are passionate about inventing new algorithms, to join us for a 3-month research internship to work on computer vision and learning, alongside our growing team of researchers in central London. The projects you will work on fit under the broad umbrella of artificial intelligence for augmented reality, including deep or shallow machine learning models, tracking, 3D reconstruction, localization, and graphics for mixed reality. We invite you to explore the best problems in vision with us. Apply here: https://nianticlabs.com/jobs/software-engineer-research-intern/ Applications received by 1st February 2019 will receive priority consideration. Responsibilities - You will dig deep into a fun computer vision and machine learning topic, becoming the expert and breaking new ground. - You will discover ways to automatically understand imagery and/or telemetry from the real world, to track, reconstruct, localize, synthesize, or recognize more accurately or more efficiently. - You will work alongside our other researchers, accepting help and aiding others, to make discoveries that will eventually help the Niantic Real World Platform, as it gets deployed for Niantic and outside developers alike. Qualifications - Completed the requirements for an MSc and/or are enrolled in a PhD program, in computer science or a related field, with focus on computer vision, robotics, AR, or machine learning. - Experience building your own software systems in Python or C++, wrangling 2D and/or 3D data, training models, and running experiments. - Proficient at finding, reading, and efficiently critiquing and experimentally assessing published research papers. - Experience writing technical papers in English for a scientific audience. Plus If... - You have had 1+ papers accepted to ICCV / NeurIPS / IROS / ISMAR / SIGGRAPH type conferences. - You have experience building fast or efficient computer vision systems. - You have experience designing your own architectures within a deep learning framework (e.g. PyTorch, Tensorflow, or similar). - You have collected and curated your own raw data. Join the Niantic team! Niantic is the worlds leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction. Originally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, and record-breaking AR game Pokon GO. Our third title, Harry Potter: Wizards Unite, is currently in development. Niantic is an Equal Opportunity and Affirmative Action employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close. We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, London, Los Angeles, Tokyo, and Hamburg.

More info | Contact: Gabriel Brostow | Posted on: 2019-01-18 16:20:16 UTC

Scientist/Senior Researcher/Researcher/Research Intern

CVTE Research | Guangzhou, China

Our main business is in the design, development, and sales of LCD main boards, Intelligent Interactive Panel, Medical devices and related Intelligent hardware. CVTE Research is the fundamental and applied research department of CVTE, aiming at supporting the company’s technology novelty and development.******* At CVTE Research, the algorithm is usually combined with the scene, and achievements can often be used in the actual product to directly see the industrial value brought by your results, e.g. Face Recognition, Action Recognition, Computational Photography, Multiple View Geometry, Tomography used in our core products. We offer adequate learning growth opportunities and high-end living welfare.

More info | Contact: Yubing Zhang | Posted on: 2019-01-17 14:04:24 UTC

Computer Vision Scientist/Engineer

Apple | Cupertino, CA, USA

iPhone is the most popular camera in the world. The seamless integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Camera & Photos team focuses on user-experience by demonstrating computer vision and image processing through machine learning. You will work on products that ship to millions of people. We are looking for people who want to do the same. The Camera Technologies team is responsible for core camera technologies, including motion/depth sensors and multiple-cameras related solutions. As a member of our team, you would help drive and deliver the core imaging and vision technologies that ship in Apple's products. Our team works with many diverse teams to develop cutting-edge software which continually enhances our camera and photos solutions. We are looking for an enthusiastic and talented scientist or engineer with a technical background in imaging and vision. In this role, you will collaborate with many other team members on designing, prototyping, developing, and integrating cutting-edge camera and vision technologies into our iPhones and iPads. Key Qualifications: - Strong technical background in computational photography and computer vision. - 5-10 years of combined research and practical experience in developing imaging and vision algorithms. - Excellent coding skills in Matlab, C, C++. - Capable of both research and development. - Demonstrated ability to take initiative and solve problems in dynamic situations. - Strong verbal and written communication skills.

More info | Contact: Jianping Zhou | Posted on: 2019-01-17 14:00:16 UTC

Postdoctoral Research Fellowship

Harvard Medical School | Boston

The fellow will work at the intersection of neuroscience and computational modeling with a multidisciplinary team of researchers involving MR physicists, neuroscientists, and computer scientists. The work will involve working (modeling) with a combination of diffusion MRI data and EEG data, ultra-high resolution diffusion MRI data analysis using machine learning or deep learning techniques. The fellow will also be involved with other projects including development/validation of diffusion tractography. You will also work with diffusion data obtained from novel sequences developed in the lab. The position also entails working in a diseased population to determine differences in tissue microstructure. This position is for 2 years. If you are interested, please email me your CV at: yogesh@bwh.harvard.edu

More info | Contact: Yogesh Rathi | Posted on: 2019-01-16 08:37:01 UTC

Senior Algorithm/Research Scientist ( Machine Learning | Statistical analysis | Optimization )

KLA Corporation | Ann Arbor, MI

Business Unit: The Film and Scatterometry Technology (FaST) Division of KLA provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India. Responsibilities: Develop the next generation of algorithms for semiconductor device and thin film metrology. The position requires a proven innovative track record in the related fields of algorithm development, statistical data analysis and signal processing, image analysis and machine learning. The candidate should have a background in engineering/math/physics and be comfortable and conversant in a range of disciplines from optics, information and noise analysis, solving optimization problems (forward and inverse). The Algorithms Scientist will produce mathematical formulations, develop modeling tools, and perform data analysis and capability predictions on a variety of metrology technologies. The role will closely interface with other members of Advanced Development, Engineering, Algorithm and Application teams. The candidate should demonstrate ability to develop complex data analysis algorithms, software codes that can be used by others, understanding of experimental data analysis, and ability to guide others. Qualifications: Education or experience must include: 1.Designing, developing, modifying and diagnosing complex algorithms, utilizing C#, C++, R, Matlab or other tools and languages; 2.Ability to invent, develop and implement new algorithms and ideas 3.Matlab, Linear Algebra, Data Visualization 4.Advanced optimization topics including compressive sensing and regularization 5.Level Set and Implicit Surface methods 6.Distributed and Parallel Computation methods 7.Statistical analysis, modeling and optimization methods 8.Signal and image processing, computer vision and machine learning 9.Hands-on experience in object-oriented and functional programming 10.Hands-on experience with products such as JMP, R, Matlab is a plus 11.Excellent written and verbal communication skills. 12.Ability to work both independently and in a team environment. 13.Semiconductor optical metrology experience preferred. Minimum Qualifications: Bachelor’s degree with Minimum of 12 years of related experience OR Master’s degree with Minimum of 8 years of experience. OR PhD with Minimum of 5 years of experience Kindly send your resume to sivaram.bose@kla.com

More info | Contact: Sivaram Bose | Posted on: 2019-01-16 08:31:19 UTC

Research Internship

Hikvision Research America | Santa Clara, USA

Hikvision is a world leading IOT solution provider, with computer vision as core technology. There is an immediate opening for a deep learning and computer vision research internship position at Hikvision Research Institute, Santa Clara, USA. We address a wide variety of computer vision problems and have a strong publication record in leading journals and conferences. Ideal candidates for this position have a PhD or MS in a field related to artificial intelligence as well as publications at conferences such as ICCV, CVPR, ICML, NIPS, etc. As a research intern at Hikvision, you will have the opportunity to develop new ideas for academic publication. The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems. Interested candidates should directly email a CV to Jianwen.Xie@hikvision.com.

More info | Contact: Jianwen Xie | Posted on: 2019-01-14 13:38:34 UTC

AI Research Scientist

PAIGE.ai | New York City

At PAIGE.ai, we are using machine learning to make the world better. We are creating algorithms that will revolutionize the clinical diagnosis and treatment of cancer. We pair digitized pathology slides with clinical notes and our machine learning algorithms to allow pathologists to diagnose cancer faster and more accurately. PAIGE has access to 10 petaFLOPS of GPU compute using AIRI, the most advanced architecture ever built for scale-out AI. We have an exclusive data licensing agreement with Memorial Sloan Kettering Cancer Center, giving us access to some of the largest datasets in the world. ****** We’re looking for AI Scientists to join us. In this role you’ll be part of a team of world-leading experts in machine learning, computer vision and pathology. In this role you’ll conduct publishable deep learning research using some of the largest digital pathology datasets in the world. You’ll be working to save lives by improving the accuracy of cancer detection, classification, and treatment outcome. Recent graduates and PhD candidates who will defend soon are welcome to apply! Requirements: - Highly motivated - PhD degree in computer science or related field - Publication record in venues such as CVPR, ICCV, NeurIPS, TPAMI, ICLR IJCV, MICCAI, etc. - Strong Python coding skills, with expertise in deep learning for computer vision Key Responsibilities: - Work with our AI Scientists and Engineers to develop and assess deep neural network models - Author top-tier journal and conference papers on your research at PAIGE. - Attend conferences to present your work. In addition to our excellent benefits package, we provide competitive salaries and stock options to our employees. Learn more and apply at https://paige.ai/careers Feel free to email me with any questions you may have.

More info | Contact: Helen Melville | Posted on: 2019-01-13 09:32:23 UTC

Call for Researcher/Senior Researcher/Principal Researcher/Intern Researcher Applicants

Wormpex AI Research | Bellevue, WA, USA

We invite candidates to apply for Researcher/Senior Researcher/Principal Researcher/Intern Researcher positions at Wormpex AI Research. Based in Bellevue, Great Seattle area USA, Wormpex AI Research, led by Chief Scientist Dr. Gang Hua, is the research branch of a fast growing convenient store chain in Asia backed by a global capital. At Wormpex AI research, we build state-of-the-art AI technologies to facilitate new retail logistics from storefronts, warehouses to manufacture. You will be offered a rare opportunity to explore a variety of research domains, e.g. Computer Vision, Machine Learning, Deep Learning, Robotics, Operations Research, Graphics, HCI or a combination of the above. You will have the opportunities to deliver advanced AI technologies to different stage of our retail operation process, so as to empower the next generation retail business operation and shopping experiences. You will also conduct exploratory research to secure future opportunities, and publish your research work in top venues. We offer competitive package and benefits, and sponsoring legal work visa and immigration applications for eligible employees.

More info | Contact: Gang Hua | Posted on: 2019-01-13 09:30:57 UTC

R&D Software Engineer

UtopiaCompression Corporation | Los Angeles, CA 90064

UC is seeking a strong C++ R&D Engineer to support research and product development in multiple areas, including computer vision, machine learning, controls and estimation applications for the air and maritime domains. This role involves the implementation of state-of-the-art machine learning algorithms on CPUs as well as GPUs, SoCs, and other embedded platforms. The candidate may be required to aid in research, analysis, and simulation studies, documentation, system integration, and testing. Basic Requirements · BS/MS/PhD in Computer Science or Electrical Engineering Strong programming skills in C++ Expertise in computer vision and machine learning Proficient with Linux environments Desired Expertise/Experience (Any one from below) Proficiency in other programming languages: Python, Matlab Experience with libraries such as Boost, Eigen, HDF5, OpenCL Experience designing and developing real-time software architectures Experience with embedded platforms Hands-on experience with EO, IR, INS, IMU, GPS sensors UC Benefits 1. Competitive compensation package 2. Fully paid for health care benefits 3. Relocation, if applicable 4. Paid vacations and sick leave allowances 5. Company stock options

More info | Contact: Jessica Aras | Posted on: 2019-01-13 09:24:51 UTC

Research Intern - Vision and Deep Learning R&D

Vision Technologies and Solutions, Siemens Corporate Technology | Princeton, NJ

The Vision Technology and Solutions group within Siemens Corporate Technology in Princeton, NJ has immediate openings for internships in computer vision and perception. We address a wide variety of computer vision and perception problems and have a strong publication record in leading journals and conferences. You will have opportunities to test and expand your knowledge with a focus on innovation and real-world applications. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. We offer flat hierarchies and foster teams with a mix of junior and senior experts.

More info | Contact: Ziyan Wu | Posted on: 2019-01-13 09:23:11 UTC

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MACHINE LEARNING ENGINEER

CGTrader | Yokneam Illit, Isreal

TECHNICAL LEAD FOR ARTIFICIAL INTELLIGENCE

CGTrader | Yokneam Illit, Isreal

Two Postdoctoral Researcher(s) in Innovations in Formalized Learning for Open Worlds

Vision and Security Technology (VAST) Lab, University of Colorado Colorado Springs |

Computer Vision/ML Engineers

Confidential (Under NDA) | Abu Dhabi

AI Application algorithm development expert

Inspur | Beijing or Jinan (Shandong Pro)

AI Computing performance optimization expert

Inspur | Beijing or Jinan (Shandong Pro)

AI Solution system architect

Inspur | Beijing or Jinan (Shandong Pro)

Vision based 3D shape tracking of deformable objects under robotic manipulation.

SIGMA Clermont, Institut Pascal | Clermont-Ferrand, France

Software Engineer / Data Scientist

Apple | Cupertino, CA

Computer Vision Engineer

Chicago White Sox | Chicago, IL

Postdoctoral Research Scholar

North Carolina State University | Raleigh

Postdoctoral Researcher in Computer Vision and Machine Learning

Cornell University | Ithaca, NY. USA

Computer vision researcher

NEC Labs America | San Jose

Computer Vision Research Scientist

Alibaba Amap | Seattle/Bay area/Beijing

Postdoc / Research Fellow: Representation learning for computational creativity

CVSSP, University of Surrey | Guildford (near London) UK

Machine Learning Scientist

Compass Inc | Seattle

Machine Learning Engineer

Compass Inc | Seattle

Machine Learning Engineer in Medical Imaging (Senior / Intern)

Heidelberg Engineering | Heidelberg, Germany

Computer Vision Researcher

Systems & Technology Research | Woburn, MA

Automotive Computer Vision Researcher

Algolux | Munich, Germany

Postdoctoral Researcher in Computer Vision and Machine Learning

Broad Institute of MIT and Harvard | Cambridge, MA. USA

Machine Learning Research Scientist

Lendbuzz | Boston, MA

Computer Vision/Software Engineer

SMT | SF Bay Area, Durham, Jacksonville

Post doctoral associate - imaging and data science

Imaging and Data Science Laboratory, University of Virginia | Charlottesville, VA, USA

PhD, postdoc and MSc positions in computer vision and machine learning in Finland

Aalto University | Helsinki, Finland

Computer Vision Researcher

Lyft Level 5 | London

Senior Data Scientist

microsoft | Houston, Texas, United States

Senior Software Engineer - 3D Perception

Allvision IO, Inc | Pittsburgh, PA

Computer Vision R&D Scientist

UtopiaCompression Corporation (UC) | Los Angeles, CA 90064

Machine Learning/Artificial Intelligence Scientist

UtopiaCompression Corporation (UC) | Los Angeles, CA 90064

Research Interns

OMRON SINIC X | Tokyo, Japan

Compiler Engineer

Mythic-AI | Austin, TX or Redwood City, CA

Software Engineer (DNN Co-Design)

Mythic | San Francisco, CA

Machine Learning and Data Science Sr. Staff Engineer (Office of CTO)

Poly | Austin, Texas or US Remote

Computer Vision & Learning Engineer (Office of CTO)

Poly | Austin, Texas or US Remote

Automotive Computer Vision Researcher

Algolux | Montreal, Canada

Post-docs in Deep Learning, Computer Vision and Robotics

Czech Technical University in Prague and Inria in Paris |

Research Scientist – Computer Vision and Machine Learning

ObjectVideo Labs | Washington, DC Area

Research Scientist in Face Recognition

**Agency for Science, Technology and Research (A*STAR)** | Singapore