Senior Machine Learning Researcher, Large Behavior Models & Diffusion Policy
Toyota Research InstituteLos Altos, California
Full Time
Posted March 26, 2025
$200k - $300k
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Application opens on company website
Job Description
A Senior Machine Learning Researcher at Toyota Research Institute will develop and deploy advanced end-to-end models for automated driving, focusing on perception, planning, and prediction using large-scale sensor data, with an emphasis on innovative architectures and integration of visual-language modalities.
Key Responsibilities
- Design and develop innovative machine learning models for automated driving systems.
- Deploy models on vehicle platforms to address daily driving tasks and long-tail scenarios.
- Lead independent research efforts and collaborate with team members and external partners.
- Explore end-to-end learning approaches using large-scale sensor data for perception, planning, and prediction.
- Expand Large Behavior Model and Diffusion Policy research into the driving domain.
- Design scalable architectures and integrate visual-language-action modalities.
- Refine models for closed-loop driving in real-world and simulation environments.
- Investigate data quality filtering, transfer learning, and edge deployment optimization.
Requirements
- Strong track record of leading independent research efforts in machine learning, preferably including mentoring and collaborating with less experienced students and researchers.
- Experience in designing and developing innovative machine learning models for autonomous driving systems.
- Proficiency in deploying machine learning models on vehicle platforms to solve daily driving tasks and handle long-tail scenarios.
- Expertise in end-to-end learning approaches for automated driving, utilizing large-scale sensor data for perception, planning, and prediction.
- Experience in expanding Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain.
- Ability to design scalable architectures and integrate visual-language-action modalities into models.
- Experience in refining models for closed-loop driving on public roads and in simulation.
- Knowledge of data quality filtering, transfer learning from diverse data sources, and edge deployment optimization.
- Educational background in a relevant field (implied by the need for research leadership and model development, though specific degrees are not explicitly stated).
- Ability to contribute to global AI efforts at Toyota, indicating a need for collaboration across multiple entities.
- Submission of a CV with a link to Google Scholar and a full list of publications (implying a strong research publication record).
Benefits & Perks
Salary range between $200,000 and $300,000 per year for California-based roles
Medical insurance
Dental insurance
Vision insurance
401(k) eligibility
Paid time off including vacation, sick leave, and parental leave
Annual cash bonus
Ready to Apply?
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