Machine Learning/Agentic AI Intern
Quick Summary
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.
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!
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.
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.
Location & Eligibility
About this job
- Pay per year
- ≈ $83,200–$120,640 a year
- 56% below the $230,750 median for Machine Learning jobs on Jobera (148 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 30, 2026
- First seen
- October 30, 2026
- Last seen
- October 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 81%
- Scored at
- October 30, 2026
Signal breakdown
4 other jobs at
View all →Similar Machine Learning jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.
