ML Research Engineer, Interpretable AI for End-to-End Automated Driving
tri· Automated Driving Advanced Development
About this role
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 transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
The Team
The Automated Driving Advanced Development (AD2) division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.
Within AD2, we are pursuing a focused research effort in Interpretable AI (iAI) for end-to-end learned automated driving systems, tightly coupled with AD2’s work on Large Behavior Models (LBM-Drive) and World Foundation Models (WFM), while remaining architecturally and product independent.
The Opportunity
We are seeking a Machine Learning Researcher to contribute to research on interpretable AI methods for learning-based automated driving systems. This role is ideal for a researcher who enjoys hands-on experimentation, model development, and evaluation, and who wants to work on foundational problems at the intersection of autonomy, interpretability, and safety. You will work closely with senior researchers and engineers to develop methods that make end-to-end neural driving policies more interpretable, diagnosable, and verifiable, while preserving performance and scalability. Your work will contribute to building “glass-box” representations that help engineers and researchers better understand, debug, and validate learned driving behaviors.
Frequently Asked Questions
Is the salary disclosed for the ML Research Engineer, Interpretable AI for End-to-End Automated Driving position at tri?
The salary for this ML Research Engineer, Interpretable AI for End-to-End Automated Driving role at tri is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the ML Research Engineer, Interpretable AI for End-to-End Automated Driving position at tri located?
This ML Research Engineer, Interpretable AI for End-to-End Automated Driving role at tri is based in Los Altos, CA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the ML Research Engineer, Interpretable AI for End-to-End Automated Driving role at tri full-time or part-time?
This is listed as a Full time position. It is posted as a ML Research Engineer, Interpretable AI for End-to-End Automated Driving role in the Automated Driving Advanced Development department at tri.
Which team or department does the ML Research Engineer, Interpretable AI for End-to-End Automated Driving at tri belong to?
This ML Research Engineer, Interpretable AI for End-to-End Automated Driving position is part of the Automated Driving Advanced Development department at tri. See the full job description for more information about the team structure and responsibilities.
How do I apply for the ML Research Engineer, Interpretable AI for End-to-End Automated Driving position at tri?
Click the "Apply Now" button on this page. You will be redirected to tri's official application portal hosted on lever where you can submit your application directly.
When was the ML Research Engineer, Interpretable AI for End-to-End Automated Driving job at tri posted?
This ML Research Engineer, Interpretable AI for End-to-End Automated Driving position at tri was posted on Feb 23, 2026. Apply as soon as possible — early applications are often reviewed first.
ML Research Engineer, Interpretable AI for End-to-End Automated Driving
tri
You'll be redirected to tri's official application page on Lever.