Accelerated Science Intern
Toyota Research Institute
Accelerated Science 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!
Team
We are a group of researchers building agentic AI systems for a diverse range of applications, including robotics, vehicle design, factory logistics, and numerical optimization.
About the Internship
A successful candidate would have a background in both agentic AI and one of the above applications.
This is an opportunity to apply your knowledge to novel research questions and work towards a publication with professional researchers. The internship will be in our Cambridge office and includes competitive compensation befitting the challenging but fun nature of the research work at TRI.
Undertake a well-scoped research project in a relevant area and bring it to publication in an appropriate venue.
Define project scope and agree on project direction with your mentor.
Current Ph.D. student in related fields - ML/AI, optimization, computer science, applied mathematics, or similar.
Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR, SIOPT, Math Programming).
Experience with training and fine tuning foundation models with reinforcement learning.
Proficient at using agentic workflows to accelerate research explorations and experiments.
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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