Human-Centered AI Research Intern
Toyota Research Institute
Human-Centered AI Research Intern
Toyota Research Institute
Advancing mobility through safety, automation, robotics
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!
The Team
This internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of researchers with backgrounds in machine learning, the behavioral sciences, and human-computer interaction. At the core of our work, we aim to create technologies that prioritize human-centered outcomes and enable purposeful human futures.
The Internship
We are seeking a PhD research intern to join our Adaptive Behavior Systems team to push the boundaries of LLM-based human modeling and simulation. The intern will collaborate with our interdisciplinary team to study how language-based generative machine learning models represent human intentions and behavior and develop methods for evaluating how well these models capture individual differences and diverse human perspectives. The project will be focused on a specific sub-area of the overall research program. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota.
This is a Summer 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.
In collaboration with your mentor and the other researchers in the department, you will:
Our goal is that you end the internship with work that informs internal strategy and may be publishable in an academic journal or conference.
Advancing mobility through safety, automation, robotics
TRI advances mobility by researching safety, automated driving, robotics, materials science, and machine learning, and partners with automotive manufacturers, tech firms, and research institutions to apply these innovations. Its projects translate into practical safety features, autonomous driving systems, and robotics that integrate with vehicles and other platforms, plus new materials for zero-emission mobility, guided by machine-assisted cognition to anticipate human behavior. It differentiates itself by linking rigorous research to real-world deployment within Toyota’s ecosystem and pursuing a licensing- and partnership-driven monetization model across cross-disciplinary teams. Its goal is to improve road safety, broaden safe mobility, and enhance human capabilities through smarter transportation that is cleaner and more connected.
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