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  3. Senior Machine Learning Researcher, Large Behavior Models & Diffusion Policy
Toyota Research Institute logo

Senior Machine Learning Researcher, Large Behavior Models & Diffusion Policy

Toyota Research Institute
Los Altos, California
Full Time
Posted March 26, 2025
$200k - $300k
Not Specified
Apply Now

Application opens on company website

Job Description

A senior machine learning researcher responsible for developing end-to-end, large-scale models for automated driving systems, focusing on perception, planning, and prediction using advanced AI techniques such as diffusion policies and large behavior models.

Key Responsibilities

  • Design and develop innovative machine learning models for automated driving systems.
  • Deploy models on vehicle platforms to solve driving tasks and handle long-tail scenarios.
  • Lead independent research efforts, including mentoring and collaborating with researchers and students.
  • Explore end-to-end learning approaches using large-scale sensor data for perception, planning, and prediction.
  • Expand Large Behavior Model (LBM) and Diffusion Policy (DP) 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.
  • Research data quality filtering, transfer learning from diverse data sources, and edge deployment optimization.

Requirements

  • Experience in designing and developing innovative machine learning models for autonomous driving systems, including perception, planning, and prediction modules, using large-scale sensor data.
  • Proven track record of leading independent research efforts in machine learning, with experience mentoring and collaborating with less experienced students and researchers.
  • Strong expertise in end-to-end learning approaches for automated driving, including utilizing large behavior models and diffusion policy research in the driving domain.
  • Ability to design scalable architectures and integrate visual-language-action modalities into autonomous driving models.
  • Experience in deploying models on vehicle platforms and optimizing for edge deployment.
  • Experience in data quality filtering, transfer learning from diverse data sources, and handling long-tail scenarios in autonomous driving.
  • Educational background in a relevant field such as Computer Science, Electrical Engineering, Robotics, or related disciplines (implied by the research and development focus).

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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