About the 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.

Skills & Tags

machine learning ai product

Aplyr's read

Toyota Research Institute leads in AI and robotics to redefine mobility, attracting top talent in machine learning and human-centered design.
Synthesized from recent postings & public sources

What's promising

•Focuses on cutting-edge AI and robotics for transportation safety and sustainability.
•Offers roles in advanced fields like multimodal models and generative AI.
•Backed by Toyota, providing stability and significant resources for research.

What to watch

•Highly specialized roles may limit opportunities for generalist candidates.
•Research focus may not appeal to those seeking direct product development roles.
•Limited public information about work-life balance and company culture.

Why Toyota Research Institute

•Pioneers in integrating AI with automotive technologies for safer mobility.
•Emphasizes human-centered AI to enhance user experience in transportation.
•Strong collaboration with Toyota ensures alignment with industry-leading automotive innovations.

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About Toyota Research Institute

Toyota Research Institute

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Toyota Research Institute (TRI) is a research organization focused on advancing artificial intelligence, robotics, and mobility technologies to enhance the safety and sustainability of transportation.