Machine Learning/Agentic AI Intern
About The Position
Toyota Research Institute (TRI) is hiring a paid intern for a 12-week, hybrid, in-office role in its Cambridge office. The intern will join a research group developing agentic AI systems for applications including robotics, vehicle design, factory logistics, and numerical optimization. Candidates should have a background in agentic AI and at least one of these application areas. The internship offers the opportunity to work on novel research questions with professional researchers and pursue publication of the work. Compensation is expected to be $40–$58 per hour for Massachusetts-based roles, depending on individualized factors such as experience, skills, job-related knowledge, and market location.
Requirements
- Be a current Ph.D. student in a related field, such as ML/AI, optimization, computer science, applied mathematics, or a similar field.
- Have a publication background in relevant venues, such as NeurIPS, ICML, ICLR, SIOPT, or Math Programming.
- Have experience training and fine-tuning foundation models with reinforcement learning.
- Be proficient at using agentic workflows to accelerate research explorations and experiments.
Responsibilities
- Undertake a well-scoped research project in a relevant area and bring it to publication in an appropriate venue.
- Define the project scope and agree on project direction with a mentor.
Benefits
- Medical, dental, and vision insurance.
- Paid time off, including holiday pay and sick time.
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
