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At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics.

Through innovations in AI, we:

• Develop vehicles incapable of causing a crash, regardless of the actions of the driver.
• Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.
• Bring advanced mobility technology to market faster.
• Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.

• Conduct ambitious research in perception for robotic systems that solve open problems of high practical value and validate it in real-world benchmarks and systems.
• Implement state of the art perception algorithms and research to run in real-time as a part of a high performance system including planning and control.
• Push the boundaries of knowledge and the state of the art in Human-Machine Interaction and Shared Control in robotics and driving contexts.
• Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners.
• Stay up to date on the state-of-the-art in computer vision and robotic perception.
• Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community.
• Lead collaborations with our external research partners (e.g., MIT, Stanford, UMich) and mentor research interns.

• Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, Chemistry). Ph.D. or deep expertise in one key area (Computer Vision, Robotics) or related fields.
• Proficient in scientific Python, Unix, and robotic frameworks (e.g. ROS2.0), as well as  common DL frameworks (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
• Proficient in practical computer vision for robotic systems, include experience with geometric computer vision such as camera calibration, optimization and filtering/smoothing framework, key point, and descriptor extraction.
• Consistent track record of publishing at high-impact conferences/journals (CVPR, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.), centered around computer vision and perception.
• You can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution.
• You are passionate about developing and applying human-centric artificial intelligence for societal good.
• You are a reliable team-player. You like to think big and go deeper. You care about openness and delivering with integrity.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Human Interactive Driving, Energy and Materials, Machine Learning, and Robotics.

The Team

Our mission is to advance the state-of-the-art in Robotic Manipulation by allowing Dexterous Behaviors to be efficiently taught, learned, and improved over time in challenging environments. We operate at the intersection of state-of-the-art  simulation, perception, controls, and machine learning in the context of robotic manipulation, and we measure our success in terms of capabilities that we can transfer towards productization, as well as research impact via publications, seminars, and contributions to open-source software. If you are passionate about our mission, and think your background makes you well suited to help us push forward towards a future of general and adaptable robots manipulating their surroundings, then come talk to us and help us see how your expertise will help make that future a reality.

The Opportunity

We’re looking for an independent and driven Robotics Research Scientist with experience in Machine Learning and Reinforcement Learning to help scale our Dexterous Manipulation research efforts.

1. Research behavior learning using a variety of techniques such as Reinforcement Learning and Learning from Demonstration.

2. Conduct experiments on existing datasets and simulations as well as on physical robots.

3. Operate as part of a small, close-knit, and fast-paced research team to produce publications and research prototypes.

4. Collaborate on research with our university research partner labs.

Responsibilities

• Research existing robotics/AI/ML/CV algorithms, extend these or innovate new algorithms for robust robot autonomy, including applications around behavior generation such as reinforcement learning and learning from demonstration.
• Explore data-driven approaches to robotics, replacing human assumptions and expertise with learned models and priors.
• Implement new and existing algorithms in high-quality C++/Python.
• Collaborate with research institutions and universities for developing breakthrough capabilities.

• 4+ years of relevant industry experience or a PhD.
• Deep practical experience with Machine Learning in at least one major framework (e.g. PyTorch or Tensorflow). The ideal candidate is comfortable operating with real data that may be noisy and non IID.
• Strong proficiency in Python and C++
• Familiarity with robots and the challenges endemic to conducting research on physical hardware platforms.
• Background in some of the following: Robotics (particularly manipulation), Deep Learning, Reinforcement Learning / Visual Reinforcement Learning, Learning from Demonstration.

The pay range for this position at commencement of employment is expected to be between $151,800 and $210,000/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.