Human-Centered AI Research Intern, Causal Reasoning Models

Toyota Research Institute · Human-Centered AI

Hours: Intern
Where: Los Altos, CA
Posted: Sep 16

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

This is a paid 12-week internship opportunity and is a hybrid, in-office role.

Here’s a glimpse into the Internship experience from some of our TRI interns!

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience.

What you'd do

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.

What they want

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.