Accelerated Science Intern, Machine Learning/Agentic AI

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. Responsibilities • 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. Qualifications • 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.