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Human-Centered AI Intern, Behavioral Science

Human-Centered AI Intern, Behavioral Science

Posted 1 day ago

Job Description

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.

Please note that this internship will be a hybrid in-office role. We welcome applicants from fields such as psychology, organizational behavior, sociology, behavioral economics, human factors, computational social sciences, or related disciplines, provided they have strong methodological training and interest in collective wellbeing.

The Team

This internship opportunity falls within the Harmonious Communities Department in the Human-Centered AI Division (HCAI). Our research aims to understand, simulate, and shape wellbeing in complex, real-world systems, including workplaces, communities, and organizations. In addition to examining individual behavior, we study how wellbeing emerges, is distributed, and changes over time across groups, and how organizational structures, technologies, and policies can support collective outcomes.

We are an integrated team of behavioral scientists, machine-learning researchers, and human-computer interaction experts. Our Behavioral Scientists bridge human-centered research with the next generation of Toyota products and strategy.

The Internship

We are looking for an Behavioral Science intern to help advance a research-driven wellbeing framework with direct relevance to organizational decision-making. This internship is well-suited for candidates who are excited by questions such as:

What does collective wellbeing mean, and how is it related to (but not reducible to) individual wellbeing?

How does wellbeing change over time in response to organizational structures, policies, or interventions?

How can wellbeing be measured rigorously in real-world, imperfect settings?

The project will involve conceptual work, measurement design, and quantitative analysis, with an emphasis on multilevel thinking.

Over the course of the project, in addition to Harmonious Communities group meetings, you will also participate in all Human-Centered AI Division meetings. You will be exposed to how interdisciplinary industrial research works and learn from our team and the other interns in our division. Furthermore, you will engage in strategy discussions about how your internship research project connects to business impact at Toyota.

Responsibilities

Scope a research project to align with our Harmonious Communities Behavioral Science efforts.

Examine how collective wellbeing relates to individual-level wellbeing, including issues of aggregation, inequality, and shared context.

Be the primary driver of the technical plan (e.g., study design, analysis plan) with regular feedback from your mentor and teammates.

Implement and complete the project using TRI resources.

Present the project's approach and findings in research meetings to the Harmonious Communities Department, the HCAI Division, and TRI, as well as to partners from Toyota business groups.

Our goal is that you end the summer with work that informs internal strategy and may be publishable in an academic journal or conference.

Qualifications

Enrolled in a PhD degree program.

Track record of implementing research projects from start to finish.

Experience with or strong interest in longitudinal, multilevel, or time-series modeling (e.g., growth models, mixed-effects models, panel data, or related approaches).

Ability to reason across multiple levels of analysis and translate research insights into implications for organizational decision-making.

Interest in theory development or integrative modeling.

Comfort working with imperfect, real-world data and balancing rigor with practical constraints.

Desire to work on challenging, open-ended research projects.

Desire to be part of a highly interdisciplinary team, and an understanding of how this will improve your work.

Demonstrated ability to work autonomously while soliciting feedbackInterested in the topic space of wellbeing, organizational behavior, and behavior change.

Please add a link to Google Scholar and include a full list of publications and presentations when submitting your CV to this position.

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles, and 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.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

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.

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