Senior Machine Learning Researcher, Large Behavior Models & Diffusion Policy
Hybrid (Los Altos, CA)$200k - $287.5kFull-timePosted 11mo ago
About the role
Senior ML Researcher to develop end-to-end learning systems for automated driving, expanding Large Behavior Models and Diffusion Policy efforts, with responsibilities spanning research, model development, evaluation, and publication across TRI and partner teams.
Responsibilities
- Conduct ambitious research to advance state-of-the-art in generative AI for end-to-end perception, planning, and prediction in automated driving with computer vision as primary sensing modality.
- Research and implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories for long-tail driving scenarios.
- Prototype, validate, and iterate model architectures using imitation learning and large-scale data, ensuring robust performance across diverse scenarios.
- Perform closed-loop evaluations in sensor simulations and real-world testing environments to assess performance, stability, and scalability.
- Explore multi-modal and language-conditioned models to broaden applicability of end-to-end policies, using external data sources and transfer learning.
- Collaborate across TRI, Woven by Toyota, and Toyota’s ecosystem to accelerate deployment and evaluation in controlled and public road settings.
- Lead in writing and publishing research results in peer-reviewed venues.
Qualifications
- A PhD or equivalent experience in robotics-relevant or embodied-AI fields (e.g., Computer Science, Mathematics, Physics, Engineering).
- Consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.).
- Consistent track record of independent research.
- Ability to independently formulate and complete a research agenda while collaborating across subject areas.
- Experience training large-scale models, including foundation models (vision-language models, text-to-video models).
- Proficiency in Python and C++ for implementing and evaluating research ideas.
Skills
Required:Generative AI applications for autonomous drivingEnd-to-end learning architecturesImitation learningResearch publication
Nice to have:Multi-modal / language-conditioned models
Benefits
- medical, dental, and vision insurance
- 401(k) eligibility
- paid time off benefits (vacation, sick time, parental leave)
- annual cash bonus structure
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Toyota Research Institute
Pursuing automated driving solutions that are safe, scalable, and inclusive
Toyota Research Institute (TRI) envisions a future where Toyota products, enabled by TRI technology, dramatically improve quality of life for individuals and society.
Automated DrivingEnergy & MaterialsHuman-Centered AIHuman Interactive DrivingLarge Behavior ModelsRobotics
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