Human-Centered AI Research Intern, Causal Reasoning Models
Toyota Research InstituteLos Altos, Canada
Internship
Posted September 16, 2026
$45 - $45/hr
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Application opens on company website
Job Description
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life.
Key Responsibilities
- Perform research and publish in a relevant venue. Publication target venues include NeurIPS, ICML, ICLR, CLeaR, UAI, and COLM, with ACL or EMNLP where the contribution is primarily linguistic, and TMLR as a journal option. Findings may also be presented at ACIC or EuroCIM. The exact topic is to be finalized with the mentor.
- Take ownership of the project from project inception and ideation to validation of the developed methods.
- Collaborate cross-functionally with researchers in multiple fields to research and develop technology that leverages generative AI to understand human behavior.
Requirements
- Ph.D. student in related fields - AI/ML, computer science, data science, statistics, or related field.
- Publication record or demonstrated research experience in causal inference (structural causal models, identification, counterfactual reasoning).
- Hands-on experience with one or more of: LLM evaluation and benchmarking; mechanistic interpretability; and methods for improving LLM reasoning, including prompting and prompt optimization, post-training (supervised fine-tuning or reinforcement learning with verifiable rewards), pretraining, or architectural changes.
- Experience with Python programming and DL frameworks like Pytorch.
- Interest in human-centered research (e.g. behavioral science, computational social science), including qualitative and/or quantitative methods such as experiments and user studies.
- Excellent communication and teamwork skills.
Ready to Apply?
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