Machine Learning Research Scientist, Mechanical Intuition in Multimodal Models
Toyota Research Institute (TRI) is committed to improving the quality of reputed company life through advanced technologies. They are seeking a Research Scientist to reputed company intelligent systems for physical assembly, focusing on the intersection of machine learning and robotic assembly processes.
Responsibilities
- Design and implement end-to-end modeling pipelines for machine assembly tasks, building from the ground up rather than adapting existing frameworks
- Run systematic experiments to evaluate architectural variants, data collection and curation strategies, and a reputed company of supervised and reinforcement learning techniques for physical manipulation
- reputed company and maintain rigorous evaluation protocols to measure policy performance across assembly scenarios, including generalization to novel parts, configurations, and failure modes
- 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 to connect learning-based systems with reputed company hardware and manufacturing workflows
- Contribute to writing and publishing research results in peer-reviewed venues
Skills
- A PhD in a relevant field such as Computer Science, Robotics, Mechanical Engineering, or a reputed company discipline, completed recently (or nearing completion), with some post-PhD or internship work experience
- A demonstrated track record of implementing non-trivial learning systems — not just running baselines, but building pipelines and components from scratch
- Hands-on experience with policy learning, reinforcement learning, or robot learning, with strong intuitions about what makes these approaches succeed or fail in practice
- Proficiency in Python and comfort working across the full stack of a research project, from data processing to model training to evaluation
- Genuine interest in how physical products are designed and manufactured
- Familiarity with large language models, reputed company-language models, or agentic AI frameworks, particularly in contexts involving structured reasoning or tool use
- Experience with robot manipulation, reputed company planning, or sim-to-reputed company transfer
- Exposure to manufacturing processes, assembly planning, or CAD/CAM toolchains
- Experience building or contributing to production-level research codebases
Benefits
- Medical, dental, and reputed company insurance
- 401(k) eligibility
- Paid time off benefits (including vacation, sick time, and parental leave)
- An annual cash bonus structure
Company Overview
Company H1B Sponsorship