Job Board

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Surfscan group includes a team of engineers, technology development, apps engineers and product marketing focused on technology that enables wafer, IC and equipment manufacturers to develop, qualify and monitor their process tools. Defects and process non-uniformities detected on Surfscan equipment allow for early identification of yield excursions. The flagship Surfscan products include the SPx platforms for wafer surface quality and wafer defect inspection tools and systems for inspection of polished wafers, epi wafers and engineered substrates during the wafer fabrication process.
Responsibilities:

In this role you will:
Focus on the development of image and signal processing algorithms for the next generations of optical inspection and metrology systems.
Cover the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support.
Collaborate with a cross-functional team for prototyping and testing.

Preferred Qualifications:
Ph.D. degree in Electrical Engineering, Computer Science, and Physics with strong experience in algorithm development is preferred.
Solid fundamental knowledge in the related fields of algorithm development, including image segmentation, texture analysis, classification, feature extraction, statistical data analysis, signal processing, filter theory, machine learning, deep learning.
CPU optimization (SSE/AVX) and GPU (CUDA) programming are among the desired skills as well.

Minimum Qualifications
Doctorate (Academic) OR
Master's Level Degree with at least 2 years of experience OR
Bachelor's Level Degree with at least 3 years of experience.

Kindy send your resumes to sivaram.bose@kla.com

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.

Responsibilities:
KLA is seeking a motivated, experienced engineer to join our world-class AI and Modeling Center of Excellence in Ann Arbor, Michigan, USA. This individual will apply his or her skills in Machine Learning and Artificial Intelligence to develop modeling algorithms to be integrated into KLA’s innovative inspection platforms.

In this role, you will:
Design, development and implementation of ground-breaking computer vision and image analysis algorithms
Rapid prototyping and validation of new machine learning, deep learning and image processing algorithms
Develop end-to-end solutions that account for the system, imaging pipeline, the user experience and the end application requirement
Work in a highly multi-functional organization to drive systems integration of algorithms.
Write robust production quality code.
Bring forward and drive creative ideas, develop production code, and provide support as needed.
Own prototype to production of algorithms

Qualifications:
Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics
2-7 years of work experience required in any of the following: Image Processing, Computational Imaging, Computer Vision, Machine Learning, or Deep Learning
Prior experience with algorithm development in C/C++, Python and object-oriented design in a Linux environment, is a plus
Algorithm prototyping using MATLAB or Python, is preferred
Prior experience with common deep learning frameworks like TensorFlow, Keras, etc.
Capability to formulate problems into mathematical equations.
Great teammate with excellent written and verbal communication skills.
Ability and willingness to travel worldwide to support demos and projects at customer sites.

What will differentiate you:
Strong understanding of vision related deep learning work like Generative models, semantic segmentation, auto encoders 
Hands on experience solving computer vision challenges
Strong fundamentals in low level image processing algorithms
Appreciation of complex image acquisition systems 

Minimum Qualifications
PhD
Master's Level Degree with 3 years of work experience

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.

Responsibilities:
KLA is seeking a motivated individual for a senior/lead algorithm engineer position in the AI & Modeling Center of Excellence working with the RAPID division. In this position, you will bring your strong academic background and proven industry experience to develop and integrate algorithms into KLA’s innovative inspection platforms. You will provide technical domain expertise, mentorship, and hands-on leadership in a highly collaborative team to deliver production-grade algorithms involving Artificial Intelligence and Machine Learning, Image Processing, and Optical Modeling.

In this role, you will:
Lead a team in delivering novel modeling, defect detection, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis
Drive adoption of machine learning that complements and improves the performance of existing algorithms in optical and/or electron-beam modeling and in the defect detection space
Collaborate with software and computer groups to design and implement data management, model training and inference flows
Bring forward creative ideas, develop production code, and support and mentor team members
Interact with other specialists and leadership in Ann Arbor and Milpitas project teams

Qualifications:
Ph.D. in Applied Math, EE, Computer Science or related field
Significant work experience is required in any two of the following: Image Processing, Deep Learning, or Optical Modeling (experience in all three is a plus)
Strong oral and written communications skills
2+ years of experience in an industry environment developing production-scale algorithms and implementing them in C++ software under Linux is preferred
Proven leadership or mentorship within a team of engineers delivering projects with a multiple-person-year scope is preferred
Experience prototyping Algorithms using MATLAB or Python is preferred
Familiarity with any of the following is a plus: GPU Programming frameworks, Linear and Nonlinear Optimization techniques, and Data Analysis and Visualization tools

Minimum Qualifications
PhD with 3 years of work experience
Master's Level Degree with 6+ years of work experience
Bachelor's Level Degree with 8+ years of work experience
COVID-19 Vaccination Requirement: Proof of full COVID-19 vaccination is required where permitted by law. KLA will consider reasonable accommodation as provided by applicable law. Please note that accommodation may not be possible where vaccination is required for an essential function of the position, including for international travel or customer site access.

The company offers a competitive and comprehensive benefits package including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, financial planning benefits, employee assistance program (EAP), paid time off and paid company holidays, family care and bonding leave.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment

A postdoctoral position is proposed in computer vision and multimedia understanding at CEA (https://kalisteo.cea.fr/index.php/ai/) and INRIA (https://www.irisa.fr/en/teams/linkmedia)

-Duration: 18 months
-Position available from: June 2022 until filled
-Place: CEA is at Palaiseau, France (~20km Paris), INRIA is at Rennes, France.

Candidates:
· PhD in Computer Vision, Machine Learning, Natural Language Processing or other relevant fields
· Strong publication record, with accepted articles in top-tier conferences and journals of the domain
· Solid programming skills (pytorch/tensorflow). Publicly available project will be appreciated
· Ability to communicate and collaborate
· Experience on using GPUs on a supercomputer (e.g. with SLURM or similar tool) will be appreciated

To apply to the position, send a CV (including publication list or a URL pointing to it) and a cover letter to Hervé Le Borgne , Yannis Avrithis , Laurent Amsaleg and Ewa Kijak .

The postdoctoral associate will work on the representation of entities described by several modalities, with a particular emphasis on the use of visual data to help in search and linking of entities. The goal is to not only disambiguate one modality by using another, but also to jointly disambiguate both by representing them in a common space

We consider entities such as a person, a place, an object or an organization, that can be represented by different modalities, in particular by visual and textual content. However, a given mention of this entity is often ambiguous. For example, the mention «Paris» refers not only to the city of France (and a dozen of other cities in the world), but also to the model Paris Hilton and the Greek hero of the Trojan War. An additional visual content linked to the mention can greatly help to disambiguate, although the visual content itself carries other ambiguities. We also consider a third type of information, namely links between entities within a knowledge base. The task of Multimedia Question Answering needs all these three modalities to be solved.

The selected candidate will work in the context of the project MEERQAT ("MultimEdia Entity Representation and Question Answering Tasks")

Project website: https://www.meerqat.fr/

Your mission

• Work at the intersection of computer vision and medical imaging
• Apply and extend state-of-the-art computer vision to medical imaging problems, such as endoscopic navigation, surface registration and 3D body scanning
• Contribute to the development and productization of our computer vision framework
• Lead projects in close collaboration with our industry customers

Your profile

• PhD in computer vision or 3+ years of relevant industry experience
• Strong programming skills in C++, experience with libraries such as OpenCV and Open3D
• Familiar with deep learning frameworks such as PyTorch
• Able to conduct applied research independently
• Reliable team player and quick learner
• Proficient in English

Why us?

• Contribute to creative and exciting projects with renowned customers around the world
• See your work integrated in actual medical products that improve patients’ lives
• Be part of an international, dynamic and highly skilled team where you can both make an impact and continue to learn
• Stay connected with the academic community, write scientific papers and attend top-level conferences such as CVPR
• Enjoy the agility of a start up paired with the safety of a grown company
• Benefit from flexible working hours
• Earn a competitive salary based on your experience

About us

ImFusion is a growing company located in Munich, conducting research, development and consulting in advanced medical image computing technologies and computer vision. Our customers include small and large medical device companies as well as academic research labs. We wish to expand our team with talented and motivated people.

You think you can be a good fit? We'd love to hear from you!

Want to innovate at Amazon? We are a computer vision research group in Berlin with the charter to accelerate innovation across Amazon. We do this by partnering with different product teams all across the world and we are creating some of the most visible and exciting CV solutions out there. We work as a centralized team that serves multiple business functions, geographies and products and we are delivering algorithms with real world impact in versatile application domains, such as Visual UIs for Search and Discovery, Synthetic Image and Video Generation, Product Identification, Augmented Reality, Accessibility, Diversity and Video Understanding.

If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions in Berlin for all levels of experience.

What we offer:

• A portfolio of 15+ projects in diverse computer vision domains with real-world customer impact (some more exploratory, some closer to shipping to customers)
• An incubator-like setup where you influence what to work on and can even start your own customer-obsessed projects
• Opportunities to collaborate with stakeholders and business units all across the world
• A diverse, cross-cultural team with peers from all over the world (English as team language)
• Full commitment to continuous professional development and support to reach your full potential
• A learning environment in a team of scientists with diverse areas of expertise willing to mentor and to help grow your career
• Opportunities to publish but with emphasis on solving customer problems and shipping solutions with impact
• A fun and relaxed culture with emphasis on team and community building
• A family-friendly environment offering flexible working hours and tailored working-from-home arrangements

What we expect:

• A master of science or PhD in computer vision/machine learning or related experience
• Broad knowledge of fundamentals in computer vision/machine learning
• Coding skills in programming languages such as Python, C, C++, Java etc.
• Living in or willing to relocate to Berlin, Germany

If this sounds interesting for you, feel free to apply over the link below or reach out with questions.

Amazon Science (https://www.amazon.science/) provides insights into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.

Job summary
Amazon’s maps play a crucial role in our vehicle navigation, routing, and planning problems to ensure fast and safe deliveries to our customers. As part of the Last Mile Geospatial Science organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to augment the maps and routing inputs from satellite/aerial imagery and street videos by leveraging the latest computer vision and deep learning techniques.

Key job responsibilities
Successful candidates should have a deep knowledge (both theoretical and practical) of various machine learning algorithms for large scale computer vision problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.

BASIC QUALIFICATIONS
PhD in Computer Science, or other related field with exposure to computer vision, video analytics, and machine learning;
2+ years of applying large-scale CV/ML/DL algorithms for solving real-world problems in industry, including object detection, semantic segmentation, object tracking, GANs, and video analytics.
Proficiency in both traditional machine learning as well as deep learning algorithms;
Proficiency with at least one deep learning framework (TensorFlow, PyTorch, MXNet, etc...);
Proficiency in C/C++, Python, or Java;

PREFERRED QUALIFICATIONS
Publications in top CV/ML conferences or journals;
Experience with popular CV/ML toolkits (OpenCV, Scikit-learn, Point Cloud Library, etc);
Experience with hyper-parameters optimization

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

POSITION OVERVIEW
The Scientist Algorithm Developer will create, improve, integrate, evaluate, and optimize algorithms that operate on medical images and data, and produce clinically useful outcomes. They will be involved in all aspects of productization, applying strong skills in research, innovation, and engineering to deliver cutting-edge medical imaging applications, some of which are fully automated. They will interact with domain experts and physicians to build a deep understanding of the clinical question, iterate utilizing their feedback, and validate that the desired accuracy is achieved via well-designed validation studies. They will be involved in the end-to-end productization process, utilizing strong programming knowledge to successfully integrate and build automated testing of these algorithms.

TEAM OVERIVEW
The Advanced Visualization Team is responsible for creating elegant, intuitive clinical applications utilizing cutting-edge technology, AI, and automation that provide visualization, quantification, and analysis tools used by medical personnel to efficiently determine accurate diagnoses and treatment plans for their patients. Our inputs are raw images from CT, X-Ray, Ultrasound, MRI, and other scanners. Our software produces highly processed, interactive images rendered in two and three dimensions that highlight anatomical features, measure pathologies, and allow doctors to quickly build a deep understanding of large amounts of data.

RESPONSIBILITIES
-Develop, enhance, and validate solutions to problems that deal with medical volumetric image data; manage the data needed for development and testing.
-Implement well-designed, reusable, and efficient low-level algorithms and libraries.
-Provide help in ideas and implementation to other team members.
-Work with other software engineers, sometimes in a lead role, to integrate the algorithms into the final product.
-Work closely with clinical experts, customers, and doctors, and facilitate useful feedback; organize and run discussion meetings and demo sessions.
-Work with regulatory teams to support obtaining regulatory clearances.

REQUIRED EDUCATION AND SKILLS
-Masters of Science in Computer Science or related field (PhD preferred)
-2+ years of research experience
-Strong modern C++ object-oriented programming skills; strong understanding and experience in low-level algorithms, data structures and complexity; strong debugging and optimization skills
-Deep knowledge and experience in classical computer vision and image analysis techniques (segmentation, clustering, feature extraction, classification, registration, filtering, morphology) and their underlying mathematical foundations (linear algebra, statistics, geometry)
-Strong experience in Python is preferred
-Experience in machine learning, both classical methods and neural-network-based methods. Having been a primary contributor to solving large or complex problems where machine learning was key to the solution is preferred
-Industry experience, clinical knowledge, and medical software development experience is preferred

JOB COMPETENCIES
-Analytical Skills - Interprets and digests complex information, applies logic and sound critical thinking to astutely evaluate information, identifies flaws in reasoning but integrates good judgment in presenting findings, creates insightful and comprehensible reports, devises improvements or corrections to processes/procedures/plans based on strong analytical findings.
-Creativity & Innovation - Generates new ideas, challenges the status quo, takes risks, supports change, encourages innovation, solves problems creatively.
Productivity - Manages a fair workload, volunteers for additional work, prioritizes tasks, develops good work procedures, manages time well, handles information flow.
-Quality Work - Is attentive to detail and accuracy, is committed to excellence, looks for improvements continuously, monitors quality levels, finds root cause of quality problems, owns/acts on quality problems.
-Teamwork - Meets all team deadlines and responsibilities, listens to others and values opinions, helps team leader to meet goals, welcomes newcomers and promotes a team atmosphere.

COMPANY OVERVIEW
At Canon Medical Informatics (formerly Vital Images, Inc.), what we do matters. This is at the heart of every product we develop, every service we provide, and especially each member of our team. As part of Canon Medical Systems Corporation, we lead the industry with the latest health imaging informatics solutions. We improve the quality of patient care by developing innovative products that enable the exchange, analysis and storage of clinical information across health care enterprises and communities. Our products handle millions of medical images and health records a day across the world. Canon Medical Informatics experiences the best of both worlds with a dynamic and collaborative environment, casual culture, and agility of a mid-sized company, while having the support and resources of Canon Medical Systems Corporate, our parent company.

Our offices are based in Minnetonka, Minnesota; Waterloo, Ontario; Copenhagen, Denmark; The Netherlands; and Beijing, China. We value our team’s innovation, enthusiasm, and dedication to help improve the lives of patients. Do you want to be part of a passionate team that believes what we do matters? Then a career with Canon Medical Informatics might be right for you!

COMPANY VALUES
Integrity, Customer Focused, Collaborative, Problem Solvers and Drive

WHAT WE OFFER YOU
Canon Medical Informatics offers a dynamic workplace, competitive compensation package, and room for learning and growth in our organization. This is an environment in which things move quickly and you’ll have the opportunity to wear many hats. We have a casual dress code, offer flexible work hours and actively foster work-life balance, because anything else simply isn’t sustainable. Our Minnetonka, MN office is located about 12 miles southwest of downtown Minneapolis. Our office is near several walking paths and restaurants that are a quick drive away. In our office of 175, we have on onsite deli, workout facility and weekly massages. Our team loves what we do and has fun doing it together. We look forward to receiving an application from you.

Canon Medical Informatics is an Equal Employment Opportunity and Affirmative Action employer.  We do not discriminate based upon race, color, religion, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. 

What will you do?
In this position, you will be part of a highly talented, award-winning Silicon Valley team focused on developing cutting edge artificial intelligence (AI) and computer vision-based medical technologies for the operating room and hospitals. The Stryker AI team comprises industry visionaries, scientists and engineers dedicated to developing technologies that change the way care is provided in the operating room, and you should be one of them. You will join a team that brought one of the first AI-driven medical devices to the operating room ***the Triton Blood Loss app*** and spawned an entirely new type of AI-enabled FDA-cleared medical device. You will help us with many new innovations in the works that need skilled, creative, and inventive people to make them a reality.

In this role, you will work along with a team of applied scientists, software engineer and clinical engineers to research, design, develop, and deploy computer vision and deep learning-based algorithms into existing and new medical device products. This is a unique, high visibility opportunity for a technical leader who wants to make business impacts, and dive deep into computer vision problems. We are particularly interested if you have experience productizing edge-based computer vision systems.

Technical responsibilities

• You will lead software implementation of Computer Vision (CV) and Artificial Intelligence (AI) systems on edge devices (iPhone, iPad, Android Tablets, Nvidia platform, etc.) as an integral part of AI-powered medical technology platform for the operating room.
• You will translate product feature requirements to design inputs / specifications and come up with high-level software design to meet requirements and guide design tradeoff decisions.
• You will develop and design software components per requirements and architecture defined
• You will design algorithm evaluation frameworks, write unit tests for algorithm components, schedule and report integration and system test performance on a regular basis adopting CI/CD principles for AI systems
• You will optimize and deploy algorithms (codebase, neural networks) on target hardware platforms, such as tablets and edge-computing devices to meet latency, memory, and performance requirements  
• You will generate and review the necessary documents with project teams (requirements, design, architecture, bugs, test)
• You will perform Software verification and/or validation testing for the AI / CV sub-components of the system
• You will lead code reviews for projects/systems as an independent reviewer applying design principals, coding standards and best practices

What you need (Required):

• Bachelor's degree in Software Engineering/ Computer Science or related discipline
• 2+ years of related work experience
• C++ language experience

Preferred Qualifications (Strongly desired):

• 2+ years of relevant industry experience) in implementation of computer vision, machine learning and/or deep learning projects into edge environments such as iOS, Android and/or Nvidia Jetson platform
• Working knowledge of Swift/Objective-C or Kotlin / JAVA for algorithm integration
• Demonstrated understanding of computer vision, image analysis, image registration,, sensor fusion, machine learning and deep learning algorithm building blocks.
• Experience working with libraries such as OpenCV, DLib, Tensorflow / TFlite, TensorRT, TorchScript, Boost C++ libraries for numerical computation, etc
• Experience in writing reusable, cross-platform, scalable, multi-threaded, test-driven and well documented codebase
• Demonstrated ability to systematically troubleshoot and debug complex computer vision and ML systems errors and have high levels of independence and technical ownership
• Bonus for:
  • Experience with medical devices and product development in a regulated industry, e.g., software developed under ISO 13485.
  • Experiencing implementing products driven by deep learning algorithms

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 is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions and many others. Kitware is proud to be 100% employee owned, and Great Place to Work-Certified™.

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.

Job summary
We are the Driver Experience team that helps drivers deliver packages from delivery stations to a customer’s doorstep. The Driver Experience team builds the Amazon Flex app and the associated backend systems that help power deliveries with speed and accuracy.

We are inventing the next-generation driver experiences that allow us to deliver faster, and with more confidence. We leverage computer vision, natural language processing and traditional machine learning techniques at Amazon scale. Our machine learning pipelines infer over billions of transactions every year and continue to grow.

Key job responsibilities
Playing a key role in the Last Mile Driver Experience team, as an Applied Scientist you will be responsible for building machine learning models and algorithms in areas including but not limited to computer vision, recommender systems, question and answering, and anomaly detections. Using your research, you will work with your engineering and product management peers to drive designs from ideation through development and into production. You will bring your experience of research for similar products and solutions, preferably in consumer or industrial verticals.

This role requires autonomy and an ability to deliver results, often within the ambiguity of building a v1 product. You will need to work efficiently to build the right things with limited guidance, raising the bar to create an amazing experience for our customers and drivers.

Basic qualifications
PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
3+ years of experience in building machine learning models for business application
Experience programming in Java, C++, Python or related language
Ph.D. Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
5+ years of hands-on experience in predictive modeling and analysis
5+ years of industry experience in the areas of Machine Learning, Deep Learning, computer vision, etc
3+ years hands-on industry experience in Python, Perl, Scala, Java, or other similar languages
Proficiency in model development, model validation and model implementation for large-scale applications

Amazon is an Equal Opportunity-Affirmative Action Employer- Female/Minority/Disability/Vet

Preferred qualifications
Ability to convey mathematical results to non-science stakeholders
Strength in clarifying and formalizing complex problems
Peer-reviewed scientific contributions in premier journals and conferences
Experience with defining research and development practices in an applied environment
Proven track record in technically leading and mentoring scientists
Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Job summary

Amazon Transporter Experience and Technology team is looking for an experienced Applied Science Manager to support the future technology developments that impact Last Mile Amazon Flex application. You would be entrusted leading a team that is researching and developing state-of-the-art computer vision and machine learning algorithms for these and future products. This is not solely a management role, you will be directly contributing to the research and development while you lead.

Key job responsibilities

Lead scientists and engineers on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.

Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.

Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.

Report results in a scientifically rigorous way.

Interact with other software engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for our products

About the team
We are developing advanced technologies that enhance the experience of shoppers in physical stores. Designed and custom-built by Amazon, existing products such as the Amazon Dash Cart and Amazon Go integrate a variety of advanced technologies including computer vision, sensor fusion, and advanced machine learning.

Our team is distributed in Seattle, Boston, and Arlington. We have a broad mix of experience levels and tenures, and we’re building an environment that encourages knowledge sharing and mentorship. Our members enjoy one-on-one mentoring and we strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

The research group Smart Instrumentation and Industrial Testing at the NORCE Energy & Technology division is looking for a scientist/senior scientist in a permanent 100% position with the main role of initiating and scientifically coordinating EU research proposals for the research group. The group has strong technological professional expertise in data science, computer vision, machine learning, pattern recognition, cybernetics, computer engineering, visual sensing, visualization, advanced maintenance, mechatronics, smart instrumentation and signal processing.

The preferred place of work is Jon Lilletunsvei 9 H, Grimstad, but employment at other NORCE locations can be possible. Travelling is expected.

The research group Smart Instrumentation and Industrial Testing at the NORCE Technology department is looking for a scientist in a permanent 100% position with the main role of research and innovation in computer vision and machine learning as well as contributing to new research proposals for the research group. The group has strong technological professional expertise in data science, computer vision, machine learning, pattern recognition, cybernetics, computer engineering, visual sensing, visualization, advanced maintenance, mechatronics, smart instrumentation and signal processing.

The preferred place of work is Jon Lilletunsvei 9 H, Grimstad, but employment at other NORCE locations can be possible. Travelling is expected.

The Bosch Center for Artificial Intelligence (BCAI) is the main hub for AI research and technology development across Bosch. With a diverse team of international specialists, we develop cutting-edge AI technologies to be deployed across Bosch products and solutions. Artificial intelligence technologies are impacting Bosch’s products and services in many domains: Manufacturing, Engineering, Autonomous Driving, Supply Chain Management and Intelligent Services, etc.

Are you excited by enabling intelligent systems to learn from data? Do you want to lead cutting edge research projects on automated machine learning, and develop tools that enable more efficient and continuously learning products, from intelligent driver assistance systems to smart IoT products? Do you want to be part of a team of experts that combines algorithmic knowledge with domain and hardware expertise?
- Conduct cutting edge research in the field of neural architecture search, aimed at developing highly accurate, yet efficient deep learning systems in resource-constrained scenarios.
- You will work in a large, international and interdisciplinary research team, and collaborate with experts from academia and industry to advance the state of the art in the field.
- Together with our team of engineers, you will develop tools that integrate latest research results and contribute to real-world applications in automated driving, driving assistants, and embedded AI products
- Publish in top-tier machine learning and computer vision conferences, supervise student projects, and drive collaborations with leading academic partners in the field.

Qualifications
- Education: machine-learning or computer-vision related PhD in Computer Science, Mathematics, Physics, or comparable subject with excellent grades, strong publication record, in particular in the fields of neural architecture search and/or automated machine learning
- Personality and Working Practice: strong team player with passion for research and a focus to see things working in practice, methodical and conceptual strength and creativity, self-motivated personality who will take initiative to solve problems
- Experience and Knowledge: advanced programming skills in Python, with strong experience in Deep Learning frameworks like Tensorflow and Pytorch and experience in collaborative software development
- Languages: excellent communications skills (writing, speaking), fluent in English

We are hiring talents with skills and experience in computer vision and machine/deep learning to work on highly innovative projects addressing challenging, realistic, yet still open problems in CV&ML and related applications.

We are looking for passionate researchers who loves challenges and wants to grow working in a team composed by academia and industry scholars, highly qualified and engaged to study, design, develop and validate image and video analysis methods based on deep learning approaches.

Starting from the analysis of the start-of-the-art models, you will be asked to study and design deep learning models tailored to tackle, and possibly solve, realistic problems related to domain adaptation and generalization, semi/self/un-supervised learning, learning with imbalance/few data or with (label) noisy data. We aim at tackling actual applicative projects and validating our proposed methods coping with public and proprietary datasets.

A further challenge is also to find out effective and efficient deep learning approaches in order to maximize performance while optimizing and containing the computational cost (memory and processor usage) and the use of computing resources. This target is faced together with hardware specialists, with whom one can work daily side-by-side to jointly support the development of such models.

This mix of high-tier academic and industrial fellows create a unique environment and unmissable opportunity for those who really want to make the difference and deploy AI onto the real world.

Required qualifications (not all requested, but the more, the better):

· Significant skills and experience in Machine and Deep Learning.

· Significant skills and experience in Computer Vision and Image\Signal Processing.

· Experience in Software development using Python (SciPy, NumPy, OpenCV, Pillow, etc.).

· Experience with development frameworks for machine learning such as TensorFlow/Keras and PyTorch.

· Knowledge on model optimization techniques for latency and memory footprint.

· Knowledge of state-of-the-art DNN architectures such as ResNet, MobileNet, YOLO, etc.

· Knowledge about object detection and classification, human pose estimation, semantic segmentation, forecasting.

· Publication track record on relevant conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, etc.) and/or journals (PAMI, IJCV, CVIU, etc.)

· Problem-solving, analytical and critical thinking skills.

· Excellent communication skills and ability to work in a highly collaborative environment.

· Fluent English, spoken and written.

Doctorate studies are a very welcome add-on, even if not mandatory.

The research team at the Bosch Center for Artificial Intelligence (BCAI, https://www.bosch-ai.com/) provides the opportunity for candidates currently enrolled as PhD students in machine learning, computer science, or a related field to perform an 'industry sabbatical' for 3-12 months. At BCAI we build the foundation to generate real-world impact through cutting-edge research focusing on safe, secure, robust, and explainable AI. We design and implement AI for smart, connected, and autonomous technologies across Bosch business sectors. During the industry sabbatical you will get the chance to develop and implement novel 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. The goal is to define the topic in such a way that it is closely related to your PhD topic.

For an example of a research work that was conducted as a PhD Sabbatical at BCAI please refer to our work "Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness" (https://arxiv.org/abs/2203.13639) that we will present at CVPR 2022 as a poster (https://cvpr2022.thecvf.com/posters-623-pm , 187b).

Possible research areas include, but are not limited to:
* Data Efficiency in Deep Learning (in particular synthetic data generation, few-shot learning, smart data augmentation, ..)
* Uncertainty in Deep Learning (in particular uncertainty estimation, OOD and anomaly detection,..)
* Natural Language Processing (e.g., neural information extraction, low resource NLP, explainable NLP, domain robustness)
* Knowledge Representation and Reasoning (e.g., neural-symbolic reasoning and learning, declarative problem solving)
* Automated Machine Learning (in particular neural architecture search)
* Deep Learning for 3D point clouds (in particular applications to radar and lidar)
* Robustness of Deep Learning (both against natural and adversarial perturbations)
* Inductive biases for including domain knowledge in deep learning based perception

Please name 1 to 3 topics of the above list or explicitly state your field of interest in your application.

Competitive candidates will have a track record of research excellence, a strong recommendation from a research supervisor, excellent programming skills, and the ability to work in a team environment.

Minimum qualifications:
* Currently enrolled in a PhD program in computer science or a related technical field
* Master degree in computer science, mathematics, physics or related fields
* Research experience in the fields of machine learning, deep learning, natural language understanding, robotics or computer vision from previous internships, work, personal projects, and/or lab work
* Good publication record, at least one publication at tier-1 conferences in the field of machine learning, robotics, natural language processing or computer vision (e.g. NeurIPS, ICML, ACL, CVPR, ICLR, etc)
* Proven programming skills, in particular Python
* Strong team player and very good English skills (written and spoken)

The Bosch Center for Artificial Intelligence (BCAI, https://www.bosch-ai.com) is offering a Research Engineer position in the field of Deep Learning Perception:
* Help us shape our deep learning research and engineering by working as part of our research team. In particular, prototype novel approaches for deep learning perception that increase its robustness, scalability, interpretability, and safety.
* You support the rapid transfer from research prototypes into products. Participate and drive the development of our software architecture for deep learning research and application.
* Be part of applying our machine learning tools to a large variety of applications within Bosch.
* For an example of a research paper from our group at CVPR 2022, please refer to our work "Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness" (https://arxiv.org/abs/2203.13639) and stop by at our poster presentation (https://cvpr2022.thecvf.com/posters-623-pm , 187b)

Qualifications:
* Education: excellent degree (PhD or Master) in Computer Science or a related field
* Personality: a strong team player with a passion for tackling challenging problems
* Experience and Knowledge: strong background in algorithmics and/or mathematics, in-depth knowledge of contemporary machine learning methods. Experience with deep learning and its applications to perception problems such as computer vision is a plus, profound skills in several programming languages including Python. In-depth experience with frameworks such as Tensorflow/Pytorch/JAX is a plus, experience in collaborative software development, know-how on modern CI/CD pipelines and cloud infrastructure is a plus
* Languages: fluent in English (written and spoken)

An opening is now available for a postdoctoral researcher in the department of pathology and medical physics for individuals interested in developing deep learning methods for analyzing flow cytometry datasets applied to disease diagnosis in hematopoietic diseases. The two-year project will focus on the development of advanced deep learning and machine learning classifiers to detect minimal residual disease (MRD) from single time and serially acquired flow cytometry datasets. This is an excellent opportunity for individuals interested in developing novel AI methods for solving challenging problems in hematopathology that impact clinical decision making. Researchers with a PhD in biomedical engineering, computer science, medical physics, or mathematics/engineering background interested in working on big data image analysis problems using cutting edge deep learning methods are ideal candidates. The job will involve working with a multi-disciplinary team of computer scientists and pathologists. Excellent communication skills to work with a multi-disciplinary team and keen interest in learning and building expertise in both deep learning and histopathology image analysis is essential.

Ideal candidates must have a strong programming background (Python and Matlab) and be familiar with deep learning libraries (e.g. Pytorch/Keras). Expert knowledge of machine learning, computer vision and/or medical image analysis is required. Prior experience in histopathology image analysis experience is desirable. Excellent written and communication skills are required. Successful completion of the project is expected to result in two or more high quality technical and clinical publications.

Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, NY, and is recognized as a world leader in clinical cancer care and research. Interested candidates should send a resume and list of three references via e-mail to:

Harini Veeraraghavan, Ph.D.
Associate attending computer scientist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: veerarah at mskcc.org

We are seeking four full-time Postdoctoral Research Assistants in Computer Vision to join the Visual Geometry Group (Central Oxford) or Biomedical Image Analysis Group (Old Road Campus). The posts are funded by ERC, EPSRC or Continental AG and are fixed-term for 2 years with possible extension.

Reporting to the Principal Investigator(s), the post-holders will help ensure a healthy and vibrant research environment within the Visual Geometry Group (Central Oxford) or Biomedical Image Analysis Group (Old Road Campus). This will involve conducting projects in computer vision research and/or health care applications of computer vision, including the work involved in the collaborations with project partners.

You should hold a relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning or Biomedical Image Analysis (for the healthcare post).You should have a strong publication record at the principal international computer vision and machine learning conferences, or if applying for the healthcare applications post principal medical image conference/journal publications and should hold Sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning.

Informal enquiries may be addressed to Prof Andrew Zisserman (email: andrew.zisserman@eng.ox.ac.uk), or Prof. Alison Noble for Biomedical Image Analysis (email:alison.noble@eng.ox.ac.uk)

For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/

Only online applications received before midday on the 30th June 2022 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

The Computer Vision Laboratory at Toronto Metropolitan University is looking for a Postdoctoral Fellow in the broad areas of computer vision and machine learning/deep learning. The ideal candidate should have a Ph.D. in a related area with demonstrated ability to conduct high-quality research in computer vision and machine learning and have a track record of publications in top venues. Please refer to the website for details: https://www.cs.ryerson.ca/~wangcs/jobs.html

We are looking for a talented PhD student to work on the intersection of vision, action and language, with direct application to robotics. A solid background on computer vision is a requirement. Additionally, experience with control and/or natural language processing is a plus.
You can apply for this position directly by sending a cover letter, CV, research statement, and college transcripts by email to Prof. Fisher Yu at the e-mail address provided below.

The Future Forward Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA or Aubonne Switzerland 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.
Additional responsibilities include:

Contribute to multiple areas of research, including but not limited to the following:
Design and apply CV/ML algorithms to novel, surgical applications
Design/bring-up of novel sensing technologies
Characterize surgeon and team behavior and workflow to optimize new technologies
Establish strong academic collaborations across research disciplines

About the job

The Machine Learning infra team builds and supports the essential tools, frameworks and pipelines for every machine learning engineer at Didi autonomous driving. Our goal is to fully utilize the enormous quantity of the daily collected sensor and driver behavior data, greatly accelerate the development cycle of machine learning models across the whole company, empowering machine learning engineers to focus on improving the car’s safety and performance, instead of worrying about their infrastructure. Our scope covers the whole lifecycle of machine learning: intelligent data collection, data mining and data annotation, model training, model evaluation and debugging, model optimization and deployment to vehicles. We care about performance, ease of use and reliability of our products. Responsibilities:
Design, implement and deploy offboardinfra and tools to support machine learning models training/optimization/deployment and data collection/mining/annotation workflows.
Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews and design discussions.
Consider the effects of projects across multiple teams and proactively manage conflicts. Work closely with partner teams to ensure they are benefiting from the systems we built.
Qualifications:
Strong coding in Python and experience with C++.
Must have the experience in at least one of the following:
Data mining (e.g. active learning) for autonomous driving
Automatic data annotation
Passionate about self-driving technology and its potential impact on the world
BS, MS or PhD in CS, Math or equivalent real-world experience
Preferred
Experience with deep learning frameworks like PyTorch, TensorFlow, etc.
Experience with MLOps platforms such as Kubeflow etc.
Understanding of distributed ML model training, model deployment (e.g., TensorRT conversion)
Experience building software solutions on cloud infrastructure
Experience working with Docker and Kubernetes
Knowledge and experience with machine learning algorithms
3+ years of experience in the industry
About The Company

Didi Chuxing (“DiDi”) is the world’s leading mobile transportation platform. We’re committed to working with communities and partners to solve the world’s transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation.

Didi Chuxing’s Autonomous-Driving team was established in 2016, and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others. We’re developing and testing self-driving vehicles in China and the United States.

In August 2019, DiDi upgraded its autonomous driving unit to an independent company to focus on R&D, product application, and business development related to self-driving technologies. The new company will integrate the resources and technology of DiDi’s platform, continue to increase investment in R&D, and deepen collaboration with auto industry partners.

About the job

Didi autonomous driving is innovating the way we build our self-driving cars. We leverage our ride-sharing network to collect large amounts of data, and improve our algorithms with the data. In this role, you will design, train and deploy ML models. It covers different algorithms across the whole stack. If you are interested in solving exciting and challenging problems, and are enthusiastic about autonomous driving, please join us!

Responsibilities
From a research perspective, exploring, prototyping, validating, and iterating new machine learning algorithms
On the development side, productionize ML algorithms to improve onboard intelligence of autonomous vehicles, including training, serving, evaluating and monitoring the ML models
Champion of the best engineering practices , crafting solutions and not just identifying problems
Qualifications
MS, or higher degree, in CS/CE/EE, or equivalent industry experience
Extensive experience with ML frameworks such as PyTorch and TensorRT
Strong experience with state-of-the-art deep learning networks
Strong programming skills in Python, C++, or other relevant languages
Passionate about self-driving car technology and its impact on the world!
3+ years of experience in autonomous driving/ADAS area
[plus] Solid research papers on AI/ML or robotics
About The Company

Didi Chuxing (“DiDi”) is the world’s leading mobile transportation platform. We’re committed to working with communities and partners to solve the world’s transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation.

Didi Chuxing’s Autonomous-Driving team was established in 2016, and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others. We’re developing and testing self-driving vehicles in China and the United States.

In August 2019, DiDi upgraded its autonomous driving unit to an independent company to focus on R&D, product application, and business development related to self-driving technologies. The new company will integrate the resources and technology of DiDi’s platform, continue to increase investment in R&D, and deepen collaboration with auto industry partners.