Machine Learning Research Scientist, Mechanical Intuition in Multimodal Models

We are looking for a Research Scientist to join us in building intelligent systems for physical assembly at Toyota Research Institute (TRI). The role is well-suited for a recent PhD graduate with a strong implementation track record and a genuine curiosity about how things are made.

Requirements

• Design and implement end-to-end modeling pipelines for machine assembly tasks
• Run systematic experiments to evaluate architectural variants, data collection and curation strategies, and a range of supervised and reinforcement learning techniques for physical manipulation
• Develop and maintain rigorous evaluation protocols to measure policy performance across assembly scenarios
• Explore how modern LLMs and agentic systems can be integrated to support physical reasoning and task planning in assembly contexts
• Collaborate with researchers and engineers across TRI and Toyota's broader ecosystem

Benefits

• Medical, dental, and vision insurance
• 401(k) eligibility
• Paid time off benefits
• Annual cash bonus structure