Senior Research Scientist, Large Behavior Models

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 ground-breaking shift in mobility, we’ve built an extraordinary team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.

Make general-purpose robots a reality.

We envision a future where robots assist with household chores and cooking, aid the older population in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate optimally in messy, unstructured environments. Our mission is to answer the question “What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?”. We believe the answer lies in cultivating large-scale datasets of physical interactions from diverse sources and using the latest advances in machine learning to learn general-purpose robot behaviors from them.

Our goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently taught, learned, and improved over time in diverse, real-world environments.

Our team has deep multi-functional expertise across hardware, simulation, perception, controls, and machine learning, and we measure our success in terms of fundamental capabilities' development, as well as research impact via open-source software and publications. Our north star is fundamental technological advancement in building robots, which can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Come join us and let’s make general-purpose robots a reality.

We’re looking for a driven research scientist or research engineer with a strong background in embodied machine learning and a “make it happen” mentality. The ideal candidate is able to work independently when needed, but works well witha larger integrated group at the latest of state-of-the-art robotics and machine learning. Experience with robots or other embodied systems (such as autonomous vehicles) is strongly preferred, particularly in the manipulation domain.

If our mission of revolutionizing robotics through machine learning resonates with you, then let’s talk about how we can create the next generation of AI-powered capable robots together.

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