Toyota Research Institute · 1 day ago
Energy & Materials Intern - Generative Models and Reinforcement Learning
Toyota Research Institute (TRI) is dedicated to improving the quality of human life through innovative tools and capabilities. They are seeking an intern to develop models and policies for discovering new materials, focusing on materials science-relevant action spaces and dataset generation.
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Responsibilities
Develop models and policies to aid the discovery of new materials and material representations
Develop models and policies based on materials science-relevant action spaces to discover new materials, synthesis routes, and interpretable heuristics
Develop pipelines for relevant dataset generation
Qualification
Required
Currently enrolled in a doctoral program in computer science, materials science, engineering, applied mathematics, physics, chemistry, or a related field
Experience or familiarity with diffusion models and diffusion policies
Experience or familiarity with reinforcement learning
Experience with high-performance computing and high-throughput data pipelines
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position
Benefits
Medical, dental, and vision insurance
Paid time off benefits (including holiday pay and sick time)
Company
Toyota Research Institute
Toyota Research Institute is an R&D enterprise with an initial focus on artificial intelligence and robotics.
H1B Sponsorship
Toyota Research Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2020 (7)
Funding
Current Stage
Growth StageRecent News
2025-12-18
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