Toyota Research Institute · 1 day ago
Energy & Materials Intern - Probabilistic Programming
Toyota Research Institute (TRI) is on a mission to improve the quality of human life through advanced AI and materials science. They are seeking an intern to contribute to the development of probabilistic programming tools for materials research, specifically in the context of fuel cells and related devices.
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Responsibilities
Contribute to the development and/or benchmarking of our probabilistic programming tools
Develop tools that provide insight into the design and testing of fuel cells, electrolyzers, or related devices
Probabilistic programming
Time-series analysis
Structural causal model development
Machine learning model development
Qualification
Required
Currently enrolled in a doctoral program in computer science, statistics, applied math, machine learning, or a related discipline
Have experience with probabilistic programming or probabilistic machine learning applied to time series modeling
Have experience with standard machine learning tools in Python such as PyTorch, JAX, etc
Preferred
Have experience with structural causal modeling, causal inference, causal learning, and/or experience with chemistry or material science
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
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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