Human Interactive Driving Intern – Human Aware Interaction and Learning
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 Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.
The Mission
Our team works to understand how people behave on the road, understand the human driver, and understand how to interact with them.
The Team
Within the HAIL team, we use approaches from machine learning, robotics, and computer vision, along with insights from human factors literature, to devise new techniques that improve on the state of the art towards better machine understanding, prediction, and interactions with people in the driving domain, both in and around the vehicle.
The Internship
We are looking for motivated interns with excellent capabilities for research in various areas of AI around autonomous vehicles and related topics. Areas of interest include multi-agent modeling and human-robot interactions with emphasis on environments such as autonomous and semi-autonomous vehicles. Related topics include trajectory prediction, driver state and behavior understanding, activity recognition, shared control, as well as human-machine teaming/interaction and computational teaching of humans.
In this project, we’re looking at creating innovative approaches that reframe how driver and intelligent vehicles interact. Our overall goal is to create AI approaches that challenge more traditional approaches for prediction, planning, and interaction with the driver, and approach the interaction as longer-term human-AI teaming, including co-adaptation and teaching, with multiple research opportunities along the way.
The project will be focused on researching a new approach in a specific sub-area of the overall goal, towards publication in a top-tier conference. Aside from the publication goal of the internship, the technology developed in the internship is crucial for next-generation safety systems, (semi-)autonomous driving systems, and novel robotic applications of the kind that TRI is helping create. The internship will be in our Cambridge, MA research center, where you will be working with strong researchers towards publications that matter, with many resources to utilize, and with competitive compensation for your hard and fun work. TRI internships promise a summer of research and problem-solving in areas of impact on autonomous driving, robotics, and society in general. Applicants with relevant publications in these fields and good collaboration skills are highly encouraged to apply.
Responsibilities
Qualifications
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
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, business or organizational needs, market location, job-related knowledge, skills, and experience. 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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