Machine Learning/Agentic AI Intern
- Location
- Cambridge
- Type
- Intern
- Posted
- 3H AGO
A signal privately tells Toyota Research Institute, Inc. you're interested. It is not a job application.
About the role
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.
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Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR, SIOPT, Math Programming).
-
Experience with training and fine tuning foundation models with reinforcement learning.
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Proficient at using agentic workflows to accelerate research explorations and experiments.
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