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We are an automotive supplier, partner to all automakers worldwide. As a technology company, Valeo proposes innovative products and systems that contribute to the reduction of CO2 emissions and to the development of intuitive driving. Since 2013 we are developing in our Prague R&D Center advanced driver assistance systems (ADAS) for smarter cars. Valeo is a leading supplier of components and systems for the world's automakers. In our R&D (Research & Development) Center in Prague we develop Advanced Driver Assistance Systems (ADAS) for intelligent cars.

Ready to tackle the challenges of the vehicle of the future? Join us and take part in the autonomous and connected car revolution at Valeo!

Launched in 2018 under the direction of Patrick Pérez, "Valeo.ai" is the first artificial intelligence research center for automotive applications, located in Prague and Paris.
"Valeo.ai" is currently looking for a Research Scientist in Machine Learning and Computer Vision, based in Prague, to conduct ambitious research projects towards assisted and autonomous driving.

YOUR CHALLENGES?

- Work in a growing, international team of researchers and engineers
- Contribute to research projects that will shape the future of autonomous driving
- Push state-of-the-art in computer vision, deep learning and reinforcement learning for key components of autonomous driving: localization, multi-sensor perception, prediction, planning and decision
- Address scientific locks such as robustness, interpretability and validation of DL-based critical systems
- Design, train and validate new architectures both on real and synthetic data
- Contribute to porting and testing most promising ideas on experimental vehicles
- Publish research results in top-tier conferences and journals, attend conferences, participate in workshops and challenges
- Mentor research interns and PhD students
- Participate in the Valeo global deep learning community (reading and working groups, trainings)

LET'S TALK ABOUT YOU...

- PhD in Machine Learning, Computer Vision (Robotics is a plus), with strong publication record
- Experience : at least 3 years as research Scientist (including thesis)
- Coding skills : Hands-on coding skills in Python, including ML/DL frameworks
- Coding experience : in GPU
- Languages : excellent written and verbal communication in English

WE OFFER:

- Work in a stable international company in a multinational team on challenging projects with huge impact on the whole automotive industry
- Automotive environment with cutting-edge technologies
- Cooperation with Valeo development sites worldwide
- Possibility to see the whole development process in one place from an idea (customer requirement) to a product testing and manufacture
- Personal development through special trainings and language courses
- Competitive package of benefits including 6 weeks of vacation plus other paid or non-paid days off, flexible working hours and home office possibility, variable bonuses - monthly and semi-annual, a bonus for an innovative idea, a bonus for a life or working anniversary, a bonus for recommendation of a new colleague up to 40 000 CZK, contribution to the pension insurance after the probation period (5% from gross salary, max. 4166 CZK), meal and free time vouchers, mobility support, company canteen, easy access to work by Prague public transportation and company car park, a fitness room and relax zones, sports ground (football, basketball…) and barbecue gazebo, company’s events, free tickets for IQ Landia and others.

Join us!
Thanks to its strategy based on innovation, Valeo is at the heart of three revolutions that are revolutionizing the automobile: the electrification of the vehicle, the advent of the autonomous and connected vehicle, and the development of digital mobility.
Revolutions that Valeo has anticipated and that are today synonymous with great career opportunities, including abroad! At Valeo, innovation is driven by diversity, authenticity and the energy of its talents.
Would you like to live new technological and human adventures? Join Valeo and its 111,600 employees in 33 countries!

Yale-NUS College invites applications for 2 open rank tenure-track or tenured positions in Data Science. Preferred fields of specialization are Bayesian Statistics, Computational Statistics, High Dimensional Data and Machine Learning. However, applicants working in other areas are welcome to apply. Review of applications begins 15 September 2021 and continues until the positions are filled. The appointee will be expected to begin duties in either January 2022 or August 2022.

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 Teams, Skype and Skype for Business). We develop technologies and do applied research and development that enables state of the art customer experiences for real-time collaboration. We are seeking a highly capable Applied Scientist / Engineer who is passionate about data, machine learning applications and driven to make an impact for millions of customers.

#IC3

#M365Core

Responsibilities
Develop and deploy machine learning solutions that improve Skype/Teams real-time collaboration quality and reliability
Design, develop, and own components, tools, platforms, and systems for real-time media communication and collaboration.
Understand and leverage core concepts of video/audio processing and real time communication
Drive independent investigations resulting in shipping product code, patents, and publications.

Qualifications
Required qualifications:

Minimum of 2 years of experience developing and shipping machine learnt software solutions.
Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or Masters plus equivalent work experience.

Preferred Qualifications

Deep knowledge of machine learning principles to solve complex problems.
Strong system software development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems

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 Teams, Skype and Skype for Business). We develop technologies and do applied research and development to enable better customer experiences for real-time collaboration. We are seeking a highly capable software engineer who is passionate about software engineering, data, machine learning applications and driven to make an impact for millions of customers.

#IC3

#M365Core

Responsibilities
Deploy machine learning solutions to improve Skype/Teams real-time collaboration quality and reliability
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
Required qualifications:

Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or Masters plus equivalent work experience
Minimum 1 year experience shipping machine learnt software solutions

Preferred Qualifications:

Strong coding skills in C/C++ in a production environment. Comfortable with Python or other scripting for rapid prototyping.
Minimum of 3 years of professional experience in software development
Minimum of 1 years of experience in machine learning using tools like 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
Excellent inter-personal skills and ability to work well in a scrum team.
Experience developing and testing code in large codebases

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 Senior Machine Learning Scientist who is passionate about machine learning and driven to make an impact.

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
Masters. or Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent
Minimum of 4 years of professional 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

Amazon Prime Air develops fully autonomous drones that perform customer package deliveries in 30 minutes or less.
We are looking for computer vision and deep learning scientists that develop world class perception algorithms to be deployed on our vehicles.

In particular, we're looking for an outstanding Applied Scientist who combines superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch scientists. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!

POSSIBLE TASKS
Everything related to visual real-time world sensing: Object Detection and Recognition, Tracking, 3D Vision and Reconstruction, multi-sensor fusion, model compression and acceleration, etc.

BASIC QUALIFICATIONS
· Graduate degree in Computer Science, EE, signal or related field or equivalent 5+ years of experience
· Expert knowledge of computer vision or sensor signal processing
· Experience applying machine learning to practical problems
· Experience with Deep Learning
· Experience with hardware/ integration and real-time systems
· Strong coding skills in, at least, one modern programming language such as C++ or Python

PREFERRED QUALIFICATIONS
· PhD in Computer Science or related field
· Programming in C++ in an industrial setting
· Strong verbal and written communication skills
· Excellent problem-solving ability
· Experience building complex /hardware mission-critical that have been successfully delivered to customers at scale
· Experience with real-time embedded systems
· Knowledge of engineering practices and patterns for the full /hardware/networks life cycle, including coding standards, code reviews, source management, processes, testing and live operations
· Experience communicating with various teams to collect requirements, describe product features and technical designs

Publishing is possible!

***Please click "More info" below to apply and view a comprehensive list of openings***

Role:
We are hiring a full-time Backend Engineer with enterprise-level software design, architecture, and development experience and with expertise in building cloud platforms and deploying cloud-based microservices applications.

Responsibilities:
- Design and implementation of Caliber’s flagship product
- Implement cost-effective and scalable infrastructure for ML/AI workflows for large-scale perception applications.
- Help in maintaining our core data platform.

Qualifications:
- Masters in computer engineering, computer science, or a related field
- 5+ years of solid hands-on software development experience with a focus on continuous delivery and deployment, enterprise application development, cloud automation, and building a container-hosting platform
- Software programming experience in one or more programming languages: Python (must have), Java/Scala (good to have)
- Experience with Docker, Kubernetes, or similar solutions
- Experience in streaming applications such as Kafka, Apache Samza, Spark Streaming, etc.
- Experience building cloud-based application using microservices and deploying in containerized environments
- Excellent knowledge of building server-side RESTful applications, APIs and automation tools
- Database experience: Redis, Elasticsearch, SQL, NoSQL
- Understanding of Software design patterns, SDLC, Test Driven Development (TDD), Continuous Integration and Continuous Delivery
- Experience working in an Agile development environment

Interested in doing state-of-the-art, curiosity-driven research at the intersection of autonomy, machine vision, and human-machine interaction?

We have openings for post-doc/post-B.S. researchers at Boston University (https://eshed1.github.io/).

You will be collaborating with an experienced university, industry, and outreach R&D team of undergraduate, graduate and post-graduate researchers. You will work on robot vision/learning projects with the expectation of publishing in leading venues (e.g., CVPR, CHI, CoRL).

Proficiency in Python, PyTorch, and C++ is a must. 

Experience with research in graphics, reinforcement learning, and/or human-robot interaction is a plus. 

Please email your CV together with an introduction of why you are interested in the position to eohnbar@bu.edu.

A full-time Post-doc or Research Professor needed to research on human motion analysis from image sequence in order to evaluate skeletal muscle mass and vision-based physical exercise guiding for the elderly. The project is interdisciplinary research and supported by government funding for 3+3+3 years.
Position Duration: 3 years, renewable.

Key expertise needed: human action analysis from video or depth camera.

Application: send Resume and 1~2 representative papers by Email to Prof. Chan-Su Lee at Yeungnam University, Korea

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and AAAI); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities in the past five years and maintains active involvement in major vision conferences.

About the projects:
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. You will have the opportunity to contribute your skills to projects of national and societal importance. Research and Developer Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs

In This Position You Will:
Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:
PhD in Computer Science or related field
Strong publication record in top-tier research publications and conferences
Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
Candidates should include a detailed list of publications as part of their resume/CV
Preferred Qualifications:
Experience with deep learning methods is desirable, but not required
Experience with geospatial coordinates systems and transformation is desirable, but not required

Company Description
Kitware collaborates with customers to solve the world’s most complex scientific challenges through customized software solutions. Kitware delivers innovation by focusing on advanced technical computing, state-of-the-art artificial intelligence, and full-spectrum software solutions. Since its founding in 1998, Kitware has developed a reputation for deep customer understanding and technical expertise, honest interactions, and open innovation. We are proud to be a 100% employee-owned company. For additional information, please visit kitware.com. You can also follow us on Twitter, LinkedIn, and Facebook.

Additional information
Kitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities in the past five years and maintains active involvement in major vision conferences.

About the projects:
NLP and Computer Vision research is increasingly interrelated, with common computational approaches and the increasing availability of text + image/video benchmarks. Likewise, multi-modal domains such as social media and news stories are of increasing interest for applications such as misinformation detection, attribution, and characterization. In addition to this, projects at Kitware require understanding written instructions, including natural language rules.

In This Position You Will:
Develop and evaluate algorithms to understand the textual content of multi-modal data.
Collaborate with computer vision researchers and machine learning developers to integrate NLP approaches for real world problems.
Develop software and algorithms to differentiate human-generated text from AI-generated text.
Enjoy support and encouragement for participation in national and international NLP, machine learning, and/or computer vision conferences
Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:
PhD in Computer Science or related field
Strong publication history in NLP (ACL, EMNLP, NAACL), machine learning (AAAI, ICML, ICLR, NeurIPS) and/or computer vision (CVPR, ICCV, ECCV, WACV) conferences.
Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
Candidates should include a detailed list of publications as part of their resume/CV

Preferred Qualifications:
Experience with natural language text generation using one or more of GPT-2, BERT, or Grover.
Past work applying NLP to textual instructions and/or rules.
Due to contractual restrictions, candidates that are US Persons (citizens, permanent residents, asylees or refugees) will be preferred for this position.

Company Description
Kitware collaborates with customers to solve the world’s most complex scientific challenges through customized software solutions. Kitware delivers innovation by focusing on advanced technical computing, state-of-the-art artificial intelligence, and full-spectrum software solutions. Since its founding in 1998, Kitware has developed a reputation for deep customer understanding and technical expertise, honest interactions, and open innovation. We are proud to be a 100% employee-owned company. For additional information, please visit kitware.com. You can also follow us on Twitter, LinkedIn, and Facebook.

Additional information
Kitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities and maintains active involvement in major vision conferences.

About the projects:
Kitware’s 3D computer vision team develops algorithms and open source applications for photogrammetry: reconstructing 3D models of objects from images and video. Current 3D projects have an emphasis on aerial and satellite imagery sources, but capabilities are often adapted to other problem domains. These projects have created and continue to support the development of TeleSculptor, an open source application for aerial 3D reconstruction built on KWIVER, and Danesfield, an open source Python framework and web application for urban 3D modeling from satellite imagery. Our 3D vision research projects support the continued development of these tools, development and publication of new cutting edge 3D reconstruction and camera calibration algorithms, and opportunities to leverage 3D vision to assist with broader computer vision topics. The team is exploring how 3D vision algorithms can aid in object detection and tracking, change detection, super resolution, video compression, super resolution, and various other problems. We frequently explore opportunities to adapt our work to new customers with new challenges and new data domains such as underwater imagery or synthetic aperture radar.

In This Position You Will:
Conduct research and develop solutions for problems related to camera calibration, registration, and 3D reconstruction from images
Contribute to the development of open source software such as TeleSculptor, KWIVER, or Danesfield
Collaborate with other researchers to brainstorm ideas and peer review work
Prepare and present research findings to customers and collaborators
Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:
PhD in Computer Science or related field
Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video
Experience with both C++ and Python, good software development practices, and proficiency in C++ or Python or both.
Strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV.
Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
Candidates should include a detailed list of publications as part of their resume/CV
Preferred Qualifications:
Experience with deep learning methods is desirable, but not required
Experience with geospatial coordinates systems and transformation is desirable, but not required

Company Description
Kitware collaborates with customers to solve the world’s most complex scientific challenges through customized software solutions. Kitware delivers innovation by focusing on advanced technical computing, state-of-the-art artificial intelligence, and full-spectrum software solutions. Since its founding in 1998, Kitware has developed a reputation for deep customer understanding and technical expertise, honest interactions, and open innovation. For additional information, please visit kitware.com. You can also follow us on Twitter, LinkedIn, and Facebook.

Additional information
Kitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

Do you want to further your research efforts in a dynamic team with a proven track record of publications? Element AI, a ServiceNow company is the AI research arm of ServiceNow, a major (and still growing!) player in the enterprise software business. We are a trusted partner for developing innovations of all kinds that help people organize better. We make the world of work, work better for people.

We are currently looking to hire somebody doing research in natural language processing to collaborate within the Low-Data Learning team. Come work with us if you are ready to lead your own research initiatives surrounded by like-minded people in a group that truly understands and want to tackle the challenges of publishing in the field of AI.

Position description: The Computational Radiology Laboratory (CRL) directed by Prof. Simon Warfield at Boston Children’s Hospital and Harvard Medical School has an opening for a highly motivated post-doctoral research fellow to develop automated image analysis using machine learning tools to compute imaging markers of disease from MR images for projects funded by the National Institutes of Health. The researcher will develop highly innovative imaging and image processing techniques and software tools including image segmentation, registration approaches, machine learning algorithms to analyze images including active learning, semi-supervised learning and crowd-sourcing techniques to generate quantitative imaging markers of disease. The researchers will have access to radiologists, MR physicists, will have mentorship from an expert team of principal investigators, and will directly work with Assistant Profs. Sila Kurugol and Dr. Onur Afacan and Prof. Simon Warfield. He/she will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst.

About CRL: The mission of CRL is improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations, and a beautiful city full of top-rank universities. Opportunities for cross-training and networking are enormous with several top-rank universities (Harvard, MIT, Northeastern, and Boston University), top-rank hospitals and medical research centers, and biotechnology and pharmaceutical companies in the neighborhood.

Minimum requirements
• PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on image processing/medical image computing, machine learning, computer vision, and/or magnetic resonance imaging
• Demonstrated record of high-performance scientific programming with python and/or C++
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal, and scientific writing skills

Highly desired qualifications:
• Experience in machine learning/ deep learning in MRI
• Experience in MR image reconstruction and/or image analysis

To apply: Please send your CV along with a copy of a technical paper, the desired start date, a paragraph including statement of goals and three references to Dr. Sila Kurugol (sila.kurugol@childrens.harvard.edu) and Dr. Onur Afacan (onur.afacan@childrens.harvard.edu). Computational Radiology Laboratory, Boston, USA. http://crl.med.harvard.edu/

Position description: The Computational Radiology Laboratory (CRL) directed by Prof. Simon Warfield at Boston Children’s Hospital and Harvard Medical School has an opening for a highly motivated post-doctoral research fellow to develop automated image analysis using machine learning tools to compute imaging markers of disease from MR images for projects funded by the National Institutes of Health. The researcher will develop highly innovative imaging and image processing techniques and software tools including image segmentation, registration approaches, machine learning algorithms to analyze images including active learning, semi-supervised learning and crowd-sourcing techniques to generate quantitative imaging markers of disease. The researchers will have access to radiologists, MR physicists, will have mentorship from an expert team of principal investigators, and will directly work with Assistant Profs. Sila Kurugol and Dr. Onur Afacan and Prof. Simon Warfield. He/she will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst.
About CRL: The mission of CRL is improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations, and a beautiful city full of top-rank universities. Opportunities for cross-training and networking are enormous with several top-rank universities (Harvard, MIT, Northeastern, and Boston University), top-rank hospitals and medical research centers, and biotechnology and pharmaceutical companies in the neighborhood.
Minimum requirements
• PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on image processing/medical image computing, machine learning, computer vision, and/or magnetic resonance imaging
• Demonstrated record of high-performance scientific programming with python and/or C++
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal, and scientific writing skills

Highly desired qualifications:
• Experience in machine learning/ deep learning in MRI
• Experience in MR image reconstruction and/or image analysis

To apply: Please send your CV along with a copy of a technical paper, the desired start date, a paragraph including statement of goals and three references to Dr. Sila Kurugol (sila.kurugol@childrens.harvard.edu) and Dr. Onur Afacan (onur.afacan@childrens.harvard.edu). Computational Radiology Laboratory, Boston, USA. http://crl.med.harvard.edu/

Motorola Solutions Video Division, is defining the future of the security industry through innovative end-to-end-solutions. We’re changing the landscape of the surveillance industry through advanced award-winning AI based surveillance systems. Artificial Intelligence is transforming the world and our team is advancing the field as it applies to the surveillance industry. We are proud to be industry leaders in video analytics with products like Appearance Search and Unusual Motion Detection along with our cloud service platform. You will have the opportunity to contribute to intelligent camera surveillance systems through cutting edge research and software engineering.

Position Overview:

Motorola is seeking an experienced Lead Software Engineer focused on developing software for our video product line of analytics cameras and appliances running the Linux operating system. Motorola Video analytics platforms allow our users to proactively monitor their premises using advanced video analytics and high resolution / high quality video. Partnering with a team of hardware, platform, client/server, multimedia, SQA, and computer vision developers, this Lead Software Engineer will develop APIs and implement interprocess communications that interface platform-level software with cutting edge video and business analytics. In this role, this Software Engineer will also help architect production software for new computer vision and machine learning features based on our research team’s algorithms.

Responsibilities:

• Develop production quality software for real-time multi-core embedded Linux devices
• Design and implement sophisticated scalable multi-threaded Object Oriented Software in C++ following modern C++ design patterns
• Collaborate with our Research team in implementing computer vision and machine learning apps on hardware
• Design/Implement/Test neural network inference pipelines on DNN accelerator hardware
• Optimize algorithms and system to ensure real time performance
• Author detailed design documents about our software architectures, algorithms, and interfaces
• Apply problem solving skills and experience to identify and improve low-level system performance issues
• Build upon our CI/CD infrastructure and add test code for existing and new features
• Review code of peers for adherence to coding standards and design guidelines
• Provide mentorship and coaching to junior developers
• Develop platform-level requirements from high level marketing requirements
• Provide technical leadership and domain knowledge for new features
• Maintain and improve firmware build systems using CMake, Docker, and Python

Required Skills:

• 4+ years of experience writing C++ multi-threaded, multi-process software for embedded Linux systems
• Experience with video, computer vision (OpenCV, OpenGL) or machine learning
• Understanding of and proven ability with operating system concepts including processes, threads, mutexes, interrupt handling, and exception handling
• Understanding of embedded design considerations including C++ memory management, microprocessor architectures, instruction efficiency, and I/O timing
• Bachelor of Science degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
• Excellent written and oral communications skills
• Solid software design and development skills and ability to write production quality code
• Ability to multi-task and work in a fast-paced Agile development environment
• Expert at cross-compiling and integrating open source software for target architectures
• Comfortable “owning” and maintaining large software distributions
• Experienced developing test harnesses for unit testing and regression testing

Preferred Skills:

• Technical Leadership experience with the responsibility of technically managing day to day software development details for small agile scrum teams
• Master’s Degree in an engineering discipline
• Low level optimization on ARM (Assembly, NEON) and Intel (SSE2), GPU / CUDA

Facebook AI Research (FAIR) is one of the top industrial research organizations in the world. In the FAIR Computer Vision team, we publish groundbreaking papers and release frameworks / libraries that are widely used in the open-source community. We also collaborate closely with Applied Research and Facebook Reality Labs to bring the latest research findings to production.

We are currently seeking talented Research Engineers with experience in Computer Vision and Computer Graphics to join a new large-scale research effort aimed at coalescing multiple teams to make dramatic improvements in the state-of-the-art for Embodied AI and applications in Augmented Reality.

The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, designers, product managers as their cross-functional partner, and will have access to cutting edge technology, resources, and research facilities.

To learn more about our research, visit https://research.facebook.com.

Responsibilities
- Develop highly scalable algorithms based on machine learning and neural network methodologies.
- Collaborate with Facebook AI Research (FAIR) scientists to facilitate research that enables learning the semantics of data (images, videos, audio).
- Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.
- Analyze, process, and annotate large datasets for use in the training and evaluation of AI systems for use in both research and production tasks.
- Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).

Minimum Qualifications
- Currently has or in the process of obtaining PhD or BS/MS in computer science or related field and 2+ years of experience in Computer Vision and Artificial Intelligence.
- Experience with advanced image synthesis, including rasterization, ray tracing, sampling, physically based shading and image processing
- Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications
- PhD degree or professional industry experience in the field of computer vision, computer graphics, machine learning, robotics or similar
- Experience bringing and optimizing high quality graphics applications onto mobile platforms
- Previous experience working with Unity, including working with 3D assets and external tools (DLLs), developing plug-ins, and programming with C++, C# and/or Python
- Publication track record at conferences such as SIGGRAPH, ECCV, ICCV, etc.

Urgent: Full-time Post-doc needed to complement our vision team in detecting manipulated videos.

Duration: 1 year, renewable for a 2nd year.

Must be willing to re-locate to Singapore. Key expertise needed: Speech recognition.

See: https://www.linkedin.com/jobs/view/2601685093/

DroneDeploy is the leading enterprise-grade drone data platform for managing complex job sites. Trusted by brands globally, we have over 5,000 customers across 200 countries. Our software automates everything from flight to insight, making the power of drone data accessible and productive for everyone. We’re transforming data collection across a variety of industries, including energy, construction, and agriculture, enabling teams to survey large areas and make informed decisions quickly, safely, and accurately. Recognized as a Best Place to Work nationally and locally, we have a winning culture where our employees span across the globe and are empowered to think big to meet our customer’s current and future needs.

We are a small team of highly skilled computer vision developers working on an industry-leading photogrammetry platform used by customers all around the world. We have two core photogrammetry products: a real-time aerial mapping solution and a cloud-based scalable image processing platform that efficiently processes drone imagery to georeference, align, stitch, blend, orthorectify and reconstruct - creating thousands of point clouds, 3D models, and mosaics every day. Our customers have mapped over 150M acres from over 180 countries around the world, relying on our industry-leading speed, quality, and accuracy to drive high ROI decisions in industries as diverse as construction, agriculture, mining, conservation, forestry, and infrastructure inspection. We are looking for highly motivated computer vision experts who are excited to work on hard problems and driven to build the future of aerial mapping here at DroneDeploy.

Responsibilities

Drive significant improvements in speed and quality from conception to production rollout and ongoing support
Take ownership of large areas of our existing photogrammetry pipeline
Stay up to date with the latest research in computer vision and machine learning as applied to the problems we solve
Develop and deploy high-quality unit-tested, production photogrammetry software
Collaborate closely with team members to solve tough computer vision problems
Drive efficiency through metrics and automated quality assessment

Requirements

Strong academic foundations from a competitive university/laboratory, with a focus on photogrammetry (M.S./Ph.D. preferred)
At least five years of experience working in applied photogrammetry technology.
At least five years of experience developing in C++
Strong track record of developing, deploying, and supporting computer vision products to customers
Strong applied math skills in linear algebra, 2D/3D geometry, and numerical methods (polynomial/Fourier approximations, ordinary differential equations, linear & non-linear optimizations, error analysis, etc)
Experience with multi-view stereo algorithms, including depth map & mesh generation
Experience with structure-from-motion algorithms covering central/non-central camera models, bundle adjustment
Experience with 3D graphics and visualization
Practical experience with SLAM / real-time computer vision techniques a bonus
Practical experience developing, training, and deploying machine learning to solve computer vision problems a bonus

Life at DroneDeploy

We believe in a global work environment that empowers everyone to explore, grow, and make a meaningful impact. We’re recognized as the # 1 Best Place to Work in the SF Bay Area (SF Business Times), made the Top 200 list of America's Best Startups (Forbes) and we work hard to maintain recognition status. Our team is creative, motivated, and committed to providing our customers the best drone software in the industry. We take feedback seriously, act with integrity, and constantly strive for improving our processes, benefits, products, and invest in our people.

Employee Programs & Benefits include:

Flexible work schedules
Remote-friendly positions
100% paid healthcare coverage for employees
$1,000 development reimbursement
$600 well-being reimbursement
Monthly remote-utility stipend
Flexible paid time off
Parental paid leave
Weekly virtual fitness classes
Employee referral bonus
Commuter savings

DroneDeploy is an equal opportunity employer.
All DroneDeploy employees are responsible for assisting in protecting the company and customer data by following information security policies and procedures

DroneDeploy is the leading enterprise-grade drone data platform for managing complex job sites. Trusted by brands globally, we have over 5,000 customers across 200 countries. Our software automates everything from flight to insight, making the power of drone data accessible and productive for everyone. We’re transforming data collection across a variety of industries, including energy, construction, and agriculture, enabling teams to survey large areas and make informed decisions quickly, safely, and accurately. Recognized as a Best Place to Work nationally and locally, we have a winning culture where our employees span across the globe and are empowered to think big to meet our customer’s current and future needs.

We are a small team of highly skilled computer vision developers working on an industry-leading photogrammetry platform used by customers all around the world. We have two core photogrammetry products: a real-time aerial mapping solution and a cloud-based scalable image processing platform that efficiently processes drone imagery to georeference, align, stitch, blend, orthorectify and reconstruct - creating thousands of point clouds, 3D models, and mosaics every day. Our customers have mapped over 150M acres from over 180 countries around the world, relying on our industry-leading speed, quality, and accuracy to drive high ROI decisions in industries as diverse as construction, agriculture, mining, conservation, forestry, and infrastructure inspection. We are looking for highly motivated computer vision experts who are excited to work on hard problems and driven to build the future of aerial mapping here at DroneDeploy.

Responsibilities

Drive significant improvements in speed and quality from conception to production rollout and ongoing support
Take ownership of large areas of our existing photogrammetry pipeline
Stay up to date with the latest research in computer vision and machine learning as applied to the problems we solve
Develop and deploy high-quality unit-tested, production photogrammetry software
Collaborate closely with team members to solve tough computer vision problems
Drive efficiency through metrics and automated quality assessment

Requirements

Strong academic foundations from a competitive university/laboratory, with a focus on photogrammetry (M.S./Ph.D. preferred)
At least five years of experience working in applied photogrammetry technology.
At least five years of experience developing in C++
Strong track record of developing, deploying, and supporting computer vision products to customers
Strong applied math skills in linear algebra, 2D/3D geometry, and numerical methods (polynomial/Fourier approximations, ordinary differential equations, linear & non-linear optimizations, error analysis, etc)
Experience with multi-view stereo algorithms, including depth map & mesh generation
Experience with structure-from-motion algorithms covering central/non-central camera models, bundle adjustment
Experience with 3D graphics and visualization
Practical experience with SLAM / real-time computer vision techniques a bonus
Practical experience developing, training, and deploying machine learning to solve computer vision problems a bonus

Life at DroneDeploy

We believe in a global work environment that empowers everyone to explore, grow, and make a meaningful impact. We’re recognized as the # 1 Best Place to Work in the SF Bay Area (SF Business Times), made the Top 200 list of America's Best Startups (Forbes) and we work hard to maintain recognition status. Our team is creative, motivated, and committed to providing our customers the best drone software in the industry. We take feedback seriously, act with integrity, and constantly strive for improving our processes, benefits, products, and invest in our people.

Employee Programs & Benefits include:

Flexible work schedules
Remote-friendly positions
100% paid healthcare coverage for employees
$1,000 development reimbursement
$600 well-being reimbursement
Monthly remote-utility stipend
Flexible paid time off
Parental paid leave
Weekly virtual fitness classes
Employee referral bonus
Commuter savings

DroneDeploy is an equal opportunity employer.
All DroneDeploy employees are responsible for assisting in protecting the company and customer data by following information security policies and procedures

Interested in working in the energetic environment of a startup that will change the way agriculture is done worldwide? Join a team of experts in flight operations, computer vision, machine learning, and robotics and make your dream come true.
Intelinair delivers actionable intelligence from aerial data (drones, aircraft, satellite) for quick decision-making in mission critical applications.

We deliver precision imaging and real-time data analysis to solve the most challenging problems. Intelinair currently has an exciting opportunity for a GIS Engineer to join our Research & Development team and help us build the integrations to expand our solution for agriculture. This past year, our team’s work has led to publications and talks at CVPR, AAAI, NeurIPS, Frontiers, NVIDIA GTC, and AI for Social Good. Location: Champaign, IL; Indianapolis, IN; Montreal, QC; Yerevan, Armenia; Remote.

RESPONSIBILITIES
• Develop geoprocessing models, GIS maps, and geospatial visualizations to support analyses
• Convert raw and unstructured data into GIS data (feature classes, shapefiles, tables, etc…)
• Write scripts to automate data collection and analysis
• Advise around sensor design and normalization
• Advise on best GIS-practices including data modeling and database organization, data ingestion and processing, and visualization.
• Keep communication between GIS, infrastructure, machine learning, and engineering teams.
• Mentor and advise more junior members and help foster best practices.

QUALIFICATIONS
• A Bachelor's degree in GIS or a related field
• 5+ years experience in Geographic Information Systems
• Expert knowledge of remote sensing data, processing, an analysis
• Significant experience with mapping tools such as ArcGIS suite of tools – ArcDesktop, ArcPro, ArcCatalog, AGOL and/or Portal; as well as QGIS
• Experience in applicable programming languages such as Python
• Strong project management practices and the ability to meet deadlines
• Good communication skills including the ability to translate technical information into plain language

We offer competitive pay and comprehensive benefits including:
● Basic health insurance plan
● Employee Stock Option Plan
● Paid vacation/holidays/day offs
● Paid Learning portals and training courses for your professional growth
● Career advancement opportunities.

Interested candidates can send their CV to jobs+gis@intelinair.com, subject - “GIS Engineer”.

Interested in working in the energetic environment of a startup that will change the way agriculture is done worldwide? Join a team of experts in flight operations, computer vision, machine learning, and robotics and make your dream come true.
Intelinair delivers actionable intelligence from aerial data (drones, aircraft, satellite) for quick decision-making in mission critical applications.

We deliver precision imaging and real-time data analysis to solve the most challenging problems. Intelinair currently has an exciting opportunity for a ML/CV Scientist to join our Research & Development team and help us expand our solution for agriculture. This past year, our team’s work has led to publications and talks at CVPR, AAAI, NeurIPS, Frontiers, NVIDIA GTC, and AI for Social Good. Location: Champaign, IL; Indianapolis, IN; Montreal, QC; Yerevan, Armenia; Remote.

RESPONSIBILITIES
● Build and deploy Machine Learning, Computer Vision, and Deep Learning models to solve real-world problems
● Engage in all elements of the ML Lifecycle: dataset construction, preprocessing and feature engineering, model building and optimization, and deployment
● Leverage incomplete and/or noisy data to reach a solution
● Identify the best approaches for a given problem which maximize both accuracy and efficiency and extend/improve current methods as needed
● Publish and patent as appropriate
● Collaborate with our agronomists, annotators, engineers, and other experts
● Mentor and advise more junior members and help foster best practices
● Support and work with cross-functional teams in our dynamic environment

QUALIFICATIONS
● A Master’s degree + 5yrs experience or PhD + 2yrs experience, in Computer Science, Computer Engineering, Physics, Machine Learning, Statistics, Mathematics, or a related field.
● Ability to manipulate large quantities of image data.
● Knowledgeable about current approaches and methods in the field and have the ability to implement those approaches in the necessary framework. Experience with domain adaptation and weakly supervised approaches is a plus.
● Strong communication skills: ability to explain complex technical issues to both technical and non-technical audiences
● We are looking for a candidate with real world experience in a Machine Learning Scientist role, who also have experience of using the following software/tools:
○ Experience with Deep Learning Frameworks (PyTorch, Tensorflow, Keras)
○ Experience with Machine Learning Frameworks (Sklearn)
○ Experience with programming languages (Python preferred), scripting languages, and version control
○ Experience with OpenCV or DLib frameworks is an advantage
○ Experience with other AWS services is an advantage
○ Experience with Docker is an advantage
○ Experience with GIS data and images is an advantage

We offer competitive pay and comprehensive benefits including:
● Basic health insurance plan
● Employee Stock Option Plan
● Paid vacation/holidays/day offs
● Paid Learning portals and training courses for your professional growth
● Career advancement opportunities.

Interested candidates can send their CV to jobs+ml@intelinair.com, subject - “ML Scientist”.

Interested in working in the energetic environment of a startup that will change the way agriculture is done worldwide? Join a team of experts in flight operations, computer vision, machine learning, and robotics and make your dream come true.

Intelinair delivers actionable intelligence from aerial data (drones, aircraft, satellite) for quick decision-making in mission critical applications. We deliver precision imaging and real-time data analysis to solve the most challenging problems. Intelinair currently has an exciting opportunity for an ML Engineer to join our Research & Development team and help us build the integrations to expand our solution for agriculture. This past year, our team’s work has led to publications and talks at CVPR, AAAI, NeurIPS, Frontiers, NVIDIA GTC, and AI for Social Good. Location: Indianapolis, IN; Champaign, IL; Montreal, QC; Yerevan, Armenia; Remote.

RESPONSIBILITIES
● Develop and maintain optimal data pipeline architecture.
● Prepare and process data for training with Machine Learning approaches.
● Optimize and deploy Machine Learning and Deep Learning models.
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Support the Machine Learning lifecycle by implementing processes for dataset creation, experimentation, reproducibility, and end-to-end workflow management.
● Support and work with cross-functional teams in our dynamic environment.
● Contribute to cutting edge solutions leading to publications and patents.
● Keep communication between infrastructure and machine learning/analytics team.
● Mentor and advise more junior members and help foster best practices.

QUALIFICATIONS
● Advanced degree in Computer Science, Computer Engineering, Physics, Mathematics, Statistics, or a related field.
● Solid knowledge of relational and non-relational databases.
● Experience building and optimizing data pipelines, architectures, and datasets.
● Experience of deploying ML models using PyTorch, Tensorflow or Keras frameworks.
● We are looking for a candidate with 3+ years of experience in an ML Engineer role, who also have experience of using the following software/tools:
○ Experience with AWS cloud services: EC2, RDS, SQS, S3.
○ Experience with scripting languages: Python, Bash etc.
○ Experience with Linux OS setup and configuration.
○ Experience with Docker.
○ Experience with CI/CD pipelines.
○ Experience with relational SQL databases, particularly Postgres.
○ Experience with other AWS services is an advantage.
○ Experience with GIS data and images is an advantage.
○ Experience with MLOps and DevOps is an advantage.
○ Experience with edge deployment and runtime optimization is an advantage.

We offer competitive pay and comprehensive benefits including:
● Basic health insurance plan
● Employee Stock Option Plan
● Paid vacation/holidays/day offs
● Paid Learning portals and training courses for your professional growth
● Career advancement opportunities.

Search "Intelinair" on the AWS Registry of Open Data (https://registry.opendata.aws/) to see some of our datasets.

Interested candidates can send their CV to jobs+ml@intelinair.com, subject - “ML Engineer”.

The Portal team brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories and that advance Facebook's mission of connecting the world. To enable new experiences the Portal AI team is tasked with inventing and developing cutting-edge technologies that make Portal products give people the experience of being there. We’re looking for talented Machine Learning Applied Researchers to build techniques that are central to creating audio and video-based technologies for Portal products. The ideal candidate has a good understanding of Speech processing and has applied machine learning techniques to audio problems.

The Machine Perception team in Motorola Solutions CTO AI group seeks motivated research scientist with a Ph.D. in computer science/engineering or a related field to work on applied research projects in Computer Vision, Vision + Language. We are working on a wide range of exciting research projects with real world impact, including object detection and recognition, image retrieval, visual reasoning, scene understanding.