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  • Tri
  • Cambridge, Cambridgeshire and Peterborough
  • 5 days ago
Tri VERIFIED EMPLOYER

Machine Learning/Agentic AI Intern.

AI & Research
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Machine Learning/Agentic AI Intern: our view in 3 lines...

  • The Role:This role is for a current PhD student or similar researcher who wants to carry out applied research on agentic AI systems and turn the work into a publication.
  • The Person:The person will undertake a well-scoped research project in a relevant area, define its scope and direction with a mentor, and bring the project to publication.
  • Requirements:The ideal candidate has a background in agentic AI, publication background in venues such as NeurIPS, ICML, ICLR, SIOPT, Math Programming, and experience with training and fine tuning foundation models with reinforcement learning.

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.

  • 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.

    • The pay range for this position at commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
     
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    TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
     
    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
    Published October 30, 2026
    Location Cambridge, Cambridgeshire and Peterborough
    Category AI & Research  

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