Machine Learning/Agentic AI Intern
About The Position
Toyota Research Institute is hiring a paid, 12-week intern for its research team developing agentic AI systems for applications including robotics, vehicle design, factory logistics, and numerical optimization. The role is a hybrid, in-office position in Cambridge, Massachusetts. The intern will apply expertise in agentic AI and a relevant application area to novel research questions, working with professional researchers and a mentor toward a publication. Compensation is described as competitive; the expected pay range at commencement is $40–$58 per hour for Massachusetts-based roles. TRI also offers medical, dental, and vision insurance, plus paid time off benefits including holiday pay and sick time. Base pay depends 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 discipline.
- Have a publication background in relevant venues, such as NeurIPS, ICML, ICLR, SIOPT, or Mathematical Programming.
- Have experience training and fine-tuning foundation models with reinforcement learning.
- Be proficient at using agentic workflows to accelerate research explorations and experiments.
- Have a background in both agentic AI and one of the application areas mentioned: robotics, vehicle design, factory logistics, or numerical optimization.
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 insurance
- Dental insurance
- 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
