Toyota Research Institute Careers

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.

Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies.

Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start up environment with resourceful people who enjoy solving global problems and the financial backing to successfully achieve our goals. If you’re passionate about working with inquisitive people to make cars safer, enable the older population to age in place, or design alternative fuel sources, TRI is the place for you. ‒ Start your impossible with us.

Our Human-Aware Interaction and Learning team is looking for Research Scientists with experience in a variety of areas including Reinforcement Learning, Human Behavioral Modeling, Shared Control, Computer Vision and Human-Machine Interaction. We are aiming to make progress on a key challenge to unlock the full potential of artificial intelligence in a human world: how do we make machines more safely and effectively interact with humans to augment their capabilities?

As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring innovative research in Machine Learning for human-centric applications. You will use large amounts of real-world and simulated sensory data to solve open problems, publish at top academic venues, and test your ideas in the real world (including our robots, innovative motion simulators and test vehicles of course!). You will help to transfer and ship our most successful algorithms and models towards real-world advanced assistance systems, touching millions of lives.

Responsibilities

• Conduct ambitious research in Human-Centric Artificial Intelligence that solves open problems of high practical value and validate it in real-world benchmarks and systems.
• 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 Machine Learning ideas and software.
• 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.
• Create ambitious new technologies touching concepts such as Theory of Mind, Game Theory and Motion Prediction, Collaborative AI, and Human-Machine Teaming.

• 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 (Machine Learning, Robotics, Computer Vision, Human-Machine Interaction, Human Behavior Modeling) or related fields.
• Consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.).
• Proficient at scientific Python, Unix, and a common DL framework (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
• 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 add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

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 Challenge

Achieving net-zero carbon emissions is one of the most important challenges facing our world and vehicle electrification is an important pathway toward decarbonizing transportation. Additionally, there are challenges beyond cars, such as understanding people’s mobility needs and limitations, creating a carbon-free electrical grid, securing resilient supply chains of critical materials for batteries and fuel cells, developing cleaner structural materials, deploying convenient charging and alternative fuel infrastructure, and decarbonizing heavy duty vehicles. Faced with these challenges, how can Toyota truly get to net zero by 2050 and meet near-term decarbonization goals? What comprehensive strategies will we need? How should we work with diverse stakeholders? What are the most impactful things we can do today while we plan for future technologies and hedge uncertainties? These are questions we need to continually answer over the coming years and decades.

The Opportunity

We are looking for someone who can work across the interdependent and critical areas of technology, economics, policy, and society in order to help evaluate and continuously evolve Toyota’s medium- and long-term carbon neutral strategy. 

As our Research Scientist for Energy Systems, you will:

- Provide timely and responsive analysis for Toyota leadership on key issues at the intersection of energy, climate, and transportation.

- Scope, build, conduct, and/or manage systems modeling for decarbonization pathways, considering techno-economic and policy factors, and coordinating with other researchers in Toyota group.

- Represent Toyota at industry and academic consortia to guide research priorities and facilitate strategic partnerships.

- Develop in-house business case analyses for carbon neutral technology adoption, and collaborate with Toyota partners (Toyota Ventures, Toyota Financial Services, etc.).

- Compile and maintain benchmark data, including industry-wide carbon neutral efforts such as competitor’s committed goals, technical developments and metrics, public announcements, and government mandates and incentives while communicating with internal and external stakeholders.

The Team

We encourage you to join a creative team of scientists and engineers dedicated to enabling a sustainable future! You will be part of the Carbon Neutral team in the Energy and Materials (E&M) division which is fostering a transition to more sustainable mobility. Other research in the division applies AI, data-driven methods, and automation to materials science and manufacturing, spanning the atomic to the device scales. The Carbon Neutral team operates  at the intersection of technology, business, policy, and society, using energy systems modeling to inform decarbonization strategy development across the Toyota ecosystem. While we are physically based in the United States, our scope has global reach. We collaborate with TRI colleagues with backgrounds in robotics, behavioral science, and computer science, with Toyota colleagues spearheading business development and policy analysis, and with scientists at leading universities and national labs. We all grow working alongside other inspiring people and learning new skills together!

Qualifications

• Have a graduate degree focused on energy technology and policy, systems engineering, energy economics, energy business analysis, or a related field.
• Have a strong research background, including peer-reviewed publications.
• Have effective written and verbal communication skills.
• Have demonstrated experience working on cross-disciplinary problems with collaborators.
• Thrive in a culture that values diversity, collaboration, humility, and learning.

• Systems modeling for energy and climate (e.g. EIA National Energy Modeling System (NEMS), IEA World Energy Model (WEM), EPA Integrated Planning Model (IPM), capacity expansion, least-cost dispatch, geospatial network modeling, technoeconomics, lifecycle emissions, total cost of ownership, etc.).
• Data-driven analysis of energy and climate.
• Energy policy and finance experience.
• Machine learning or AI experience.
• Programming experience (e.g. Python, Julia, R, MATLAB).
• Ability to travel, both domestic and international.

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.

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!

Our HASTEN (Helping Aging Society: Tactile Embodied Nudging) collaborative team brings together complementary research and engineering expertise in physical human-robot interaction, bubblized soft robotics, humanoid systems, software development, user-centered design, and occupational and physical therapy experts. Our team develops robotic technology, sensing, and algorithms for supporting older adults in their homes with activities of daily living that require large amounts of surface contact between people and robots in order for robots to provide supportive assistance, in the context of stability and mobility such as getting up from a chair and dressing. 

In these close proximity and directly hands-on physical contact human-robot interactions, safety is paramount! Therefore, the focus of this role will be to develop pHRI algorithms that are robust and provably biomechanically sound such that our end-users feel secure and comfortable when being supported and assisted by our robots. This role is on the RUXID (Robotics UX & Interaction Design) team, which comprises UX researchers and designers, as well as HRI researchers. The RUXID team collaborates closely with TRI's robotics engineering teams.

Responsibilities

• Research formal methods for safe hands-on, physical human-robot interactions derived from user needs of aging society.
• Develop provably ergonomically safe physical human-robot interactions derived from expert human-human demonstrations.
• Collect multi-modal data sets (motion capture and various tactile sensors) of expert demonstrations for controller development.
• Develop and deploy these algorithmic solutions in a physics-based simulation and on real hardware and conduct user studies with real people.
• Collaborate cross-functionally with user experience researchers and designers, roboticists, and software engineers.
• Follow software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.

• M.S. or Ph.D. (Robotics, Biomechanical / Biomedical Engineering, Computer Science, Human-Robot Interaction, or related engineering field) OR equivalent practical experience.
• Knowledge of key robotics areas such as trajectory optimization, sampling based planners, reactive planning and control, compliant motion control, modeling soft-contact, and coordinated whole-body control.
• Experience in applying machine learning to real robots, including areas such as reinforcement, imitation, and sim2real transfer.
• Experience with robotic applications that involve humans in the loop, including human intent estimation and testing out proof of concepts with users.
• Experience with and understanding of multi-modal sensing including visual perception (e.g., cameras, lidar) and force/contact sensors (e.g., force-torque sensors, pressure/tactile sensing).
• Strong software engineering skills, preferably in C++ and Python, and experience deploying onto physical robotic systems, including strong analysis and debugging skills.
• Experience with robotic system integration in the context of complex, open-ended, cross-functional projects.
• Experience with deployment of high DoF (degrees of freedom) robots in the real world (i.e., home settings) for extended periods and debugging/servicing as needed.
• Desire to iterate on concepts to include end-user or Subject Matter Expert feedback and prove out concepts in user studies.
• A great teammate with strong communication skills, and a willingness to learn from others and contribute back to the robotics community with publications and open source code.
• Passion for seeing robotics help humans and desire to have a real-world, large-scale impact.

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.

TRI is assembling a world-class team to develop and integrate innovative solutions that enable a robot to perform complex, human-level mobile manipulation tasks, navigate with and among people, and learn and adapt over time.  The team will develop, deploy, and validate systems in real-world environments, in and around homes.

The team will be focused on heavily leveraging machine learning to marry perception, prediction, and action to produce robust, reactive, coordinated robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in real world scenarios.

TRI has the runway, roadmap, and expertise to transition the technology development to a product that impacts the lives of millions of people.  Apply to join a fast moving team that demands high-risk innovation and learning from failures, using rigorous processes to identify key technologies, develop a robust, high quality system, and quantitatively evaluate performance.  As part of the team, you will be surrounded and supported by the significant core ML, cloud, software, and hardware expertise at TRI, and be a part of TRI's positive and diverse culture.

Responsibilities

• Develop, integrate, and deploy algorithms linking perception to autonomous robot actions, including manipulation, navigation, and human-robot interaction.
• Invent and deploy innovative solutions at the intersection of machine learning, mobility, manipulation, human interaction, and simulation for performing useful, human-level tasks, in and around homes.
• Invent novel ways to engineer and learn robust, real-world behaviors, including using optimization, planning, reactive control, self-supervision, active learning, learning from demonstration, simulation and transfer learning, and real-world adaptation.
• Be part of a team that fields systems, performs failure analysis, and iterates on improving performance and capabilities.
• Follow software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.

• M.S. or Ph.D. in an engineering related field.
• A strong track record in inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments.
• Expertise and experience in areas such as reactive control, trajectory optimization, coordinated whole-body control, dexterous manipulation, arm motion planning, grasp planning, navigation, and human interaction.
• Expertise and experience in applying machine learning to robotics, including areas such as reinforcement, imitation, and transfer learning.
• Strong software engineering skills, preferably in C++, and analysis and debugging of autonomous robotic systems
• A team player with strong communication skills, and a willingness to learn from others and contribute back to the robotics community with publications or open source code.
• Passionate about seeing robotics have a real-world, large-scale impact.

The pay range for this position at commencement of employment is expected to be between $184,000 and $276,000/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.

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 that solves open problems of high practical value and validate it in real-world systems.
• Push the boundaries of knowledge and the state of the art in Shared Control for driving.
• Implement code and test in simulation and on vehicles.
• Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners.
• Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community.

• 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 (Reinforcement Learning/Data Driven Control, Human Behavioral Modeling, or Shared Control) or related field.
• Consistent track record of publishing at high-impact conferences/journals (ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, IROS, CDC, ACC, IFAC, AVEC etc.).
• Proficient at scientific Python, Unix, and a common DL framework (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
• Experience with vehicle dynamics / autonomous vehicle control / driver modeling/ testing on real hardware is a major plus.
• You are a reliable team-player. You care about openness and delivering with integrity.

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.

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.

Our Machine Learning (ML) team is looking for Computer Vision Research Scientists with expertise in Multimodal Perception, Spatio-temporal Representation Learning, Few-shot/Zero-shot Learning/Domain Adaptation, Vision-as-Inverse-Graphics (including Differentiable Rendering), or related fields preferred, to improve dynamic scene understanding for robots! We are working on some of the hardest scientific challenges around the safe and effective usage of large robotic fleets, simulation, and prior knowledge (geometry, physics, domain knowledge, behavioral science), not only for automation but also for human augmentation.

As a Research Scientist, you will work with a team proposing, conducting, and transferring innovative research. You will use large amounts of sensory data and simulation to address open problems, publish at top academic venues, and test your ideas in the real world (including on our robots of course!). You will also work closely with other teams at TRI to transfer and ship our most successful algorithms and models towards world-scale long-term autonomy and advanced assistance systems.

Responsibilities

• Conduct high-reaching research that solves problems of high value and validates them in benchmarks and systems.
• Push the boundaries of knowledge and the state of the art in ML areas including simulation, perception, prediction, and planning for autonomous driving and robotics.
• Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
• 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., Stanford, Berkeley, MIT) and mentor research interns.

• Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, Chemistry). Ph.D. in Machine Learning, Robotics, Computer Vision, or related fields preferred.
• Deep expertise in at least one key ML area among Computer Vision, RL, ML theory, AI ethics.
• Consistent record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.) on the aforementioned topics.
• Proficient at scientific python, Unix, and a common DL framework (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
• 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 intrigued by large-scale challenges in ML, especially in the space of Automated Driving, Robotics, and for societal good in general.
• You are a reliable teammate. You like to think big and go deeper. You care about openness and delivering with integrity.

The pay range for this position at commencement of employment is expected to be between $151,800 and $218,213/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.

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.

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.

Our Machine Learning (ML) team is looking for Research Scientists with a focus on Natural Language Processing, Computer Vision and Multi-Modal Foundation Models. We are aspiring to make progress on some of the hardest scientific challenges around the safe and effective usage of large robotic fleets, simulation, and prior knowledge (physics, domain knowledge, behavioral science), not only for automation but also for human augmentation.

As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring pioneering research in Machine Learning. You will use large amounts of sensory data and simulation to solve open problems, publish at top academic venues, and test your ideas in the real world (including on our robots (https://www.tri.global/news/virtual-robotics-event/) of course!). You will also work closely with other teams at TRI to transfer and ship our most successful algorithms and models towards world-scale long-term autonomy and sophisticated assistance systems. Responsibilities and required qualifications are as follows:

Responsibilities:

• Conduct daring research primarily in Natural Language Processing, Computer Vision, Planning, Dialog, and Robotics that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems.
• Push the boundaries of knowledge and the state of the art in areas including language and vision for robotics.
• Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
• Stay up to date on the state-of-the-art in Machine Learning ideas.
• 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., Stanford, Berkeley, MIT) and mentor research interns.
• Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering). Ph.D. in Machine Learning, Robotics, Control Theory, Computer Vision, or related fields preferred.
• Expertise in at least one key ML area.

• Consistent track record of publishing at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, RSS, ICRA, COLT, CDC, L4DC, CVPR, ICCV, ECCV, PAMI, IJCV, etc.) on some of the aforementioned topics.
• Proficiency with one or more coding languages and systems, preferably python, Unix, and a DL framework (e.g., PyTorch).
• 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.
• Passionate about ML research.
• A reliable teammate who loves to think big, go deeper and delivers with integrity.

The pay range for this position at commencement of employment is expected to be between $151,800 and $218,213/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.

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 Challenge

Our team seeks to enhance and expand human understanding and advance collective well-being for people and the planet. We tackle problems that (1) enable people to contribute to environmental goals through Toyota products, (2) accelerate the innovation process to increase creativity, and (3) increase empathy to reduce and resolve real-world conflict.

The Team

We welcome you to join a unique team of scientists and engineers dedicated to enabling a sustainable future. You will be a part of the Human-Centered AI division which brings together a diverse set of researcher backgrounds including behavioral science, human-computer interaction and machine learning. We all grow working alongside other great people and constantly learn new skills together.

The Opportunity

We are looking for someone who can work across disciplines to create new interactive prototypes and support human subjects research data collection. These prototypes include custom web apps (front and back end), mobile applications (iOS, Android), VR/AR headsets, and physiological sensors as well as supporting ML model training and experimentation.

Responsibilities

• Work with scientists and engineers to design and build systems that support the research goals.
• Assist research teams in developing their project’s schedule.
• Iteratively develop user interfaces that showcase research concepts.
• Interface with other engineering teams at TRI to coordinate software development, utilize our AWS infrastructure, and ensure our software meets information security requirements.
• Manage your time across typically two project efforts.
• Grow with other research software engineers on the HCAI team.

• 5+ years of Software development experience in a research setting (academic or industry)
• AWS experience (EC2, S3, Databricks, EMR, Sagemaker)
• Experience with machine learning libraries
• You have experience with front/back end web development (Javascript, Python)
• Excellent written and verbal communication skills
• A prototyping mindset - building solutions that are “good enough” to answer a steady stream of scientific questions

The pay range for this position at commencement of employment is expected to be between $184,000 and $264,500/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.

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 that solves open problems of high practical value and validate it in real-world systems.
• Push the boundaries of knowledge and the state of the art in Shared Control for driving.
• Implement code and test in simulation and on vehicles.
• Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners.
• Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community.

• 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 (Reinforcement Learning/Data Driven Control, Human Behavioral Modeling, or Shared Control) or related field.
• Consistent track record of publishing at high-impact conferences/journals (ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, IROS, CDC, ACC, IFAC, AVEC etc.).
• Proficient at scientific Python, Unix, and a common DL framework (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus.
• Experience with vehicle dynamics / autonomous vehicle control / driver modeling/ testing on real hardware is a major plus.
• You are a reliable team-player. You care about openness and delivering with integrity.

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.