Toyota Research Institute

At Toyota Research Institute (TRI), we’re working to build a future where everyone can benefit from robot-assisted amplification, from reducing vehicle collisions to home assistance. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, and robotics. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. 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 Ph.D. 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 brilliant people who enjoy solving global problems and the financial backing to successfully achieve our goals. If you’re passionate about working with smart people to make cars safer, enable the elderly to age in place, or design alternative fuel sources, TRI is the place for you. ‒ Start your impossible with us.

Our Machine Learning (ML) team is looking for Research Scientists with a focus on Reinforcement Learning (RL) (including model-based RL and offline RL) or Planning/Control and ML Safety (including ML theory, AI ethics, causality). We are aiming 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 cutting-edge 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 our robots and test vehicles 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. Your vision and expertise in robustness/safety / AI ethics will help set the tone and elevate those around you to deliver on the highest levels of safety and fairness in all areas of human-robot interaction. Responsibilities and required qualifications are as follows:

Conduct ambitious research in Reinforcement Learning, Imitation Learning, Robust Control, Adaptive Control, Safety 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 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.
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 among RL, ML theory, AI ethics (e.g., FAT-ML), control theory, causality, Bayesian statistics
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).
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 ML research, especially in the space of Automated Driving, Robotics, and for societal good in general.
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.

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