Toyota Research Institute · 10 hours ago
Energy & Materials Intern — Materials Representation Learning for Accelerated Design
Toyota Research Institute (TRI) is on a mission to improve the quality of human life through advanced AI and materials science. The internship focuses on developing next-generation material representations to support accelerated materials design, collaborating with researchers to prototype and evaluate representation-learning approaches.
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Responsibilities
Build and maintain strong baselines comparing composition-only and structure-aware representations across a set of key property prediction tasks
Prototype and evaluate multi-view representation methods that integrate signals from multiple characterizations and properties
Develop a reusable evaluation and reporting pipeline to assess generalization, identify failure modes, and quantify uncertainty where appropriate
Curate datasets and implement preprocessing workflows that better capture complex materials systems and common sources of noise or ambiguity
Contribute high-quality, well-documented code to an internal codebase and help translate results into internal reports, publications, and/or patent disclosures (as appropriate)
Qualification
Required
MS or PhD (or equivalent industry experience) in computer science, applied math, materials science, chemistry, physics, or a related field
Strong foundations in machine learning with demonstrated experience training models on real datasets
Familiarity with modern scientific ML approaches, including representation learning, uncertainty estimation, and/or physics-informed or hybrid physics–ML modeling
Proficiency in Python and modern ML tooling (e.g., PyTorch/JAX, experiment tracking, reproducibility best practices)
Ability to work collaboratively across disciplines and to translate research ideas into working code
Preferred
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position
Benefits
Medical
Dental
Vision insurance
Paid time off benefits
Holiday pay
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
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Trends of Total Sponsorships
2025 (10)
2020 (7)
Funding
Current Stage
Growth StageRecent News
2025-12-18
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