AI Research Intern – Wellbeing, Communities & Organizations

Company: Toyota Research Institute
Location: Los Altos
Posted on: April 5, 2026

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 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! The Mission Within TRI’s Human-Centered AI Division, the Harmonious Communities team aims to understand and improve wellbeing in complex systems such as workplaces, organizations, and communities. Our goal is to develop new ways of measuring, modeling, and shaping wellbeing, and leveraging AI to support better outcomes at both individual and collective levels. The Challenge Wellbeing in real-world systems is complex and shaped by interactions across individuals, teams, and environments. Many drivers are difficult to observe, measure, or model, and traditional approaches often fail to capture these dynamics. We are exploring how AI, combined with systems thinking, can help uncover hidden patterns, identify key drivers, and enable the design of interventions or system changes that improve outcomes at scale. The Team The Harmonious Communities team is an interdisciplinary group of machine learning researchers, behavioral scientists, and human-computer interaction experts. We work across fields to study how wellbeing emerges, evolves over time, and can be influenced through organizational structures, technologies, and policies. Our work connects fundamental research with real-world impact within Toyota. The Opportunity We are looking for a creative and self-driven intern to explore how AI can be used to better understand and improve wellbeing in human systems. This is an open-ended, research-oriented internship where the project will be shaped collaboratively based on your interests and ideas. You will have the opportunity to propose and develop novel approaches, including machine learning, causal learning, natural language processing, or agent-based simulations, to study complex social systems. Responsibilities Formulate and explore research questions related to wellbeing in organizations and communities. Work with real or simulated datasets to uncover patterns, relationships, and insights. Develop models, simulations, or analytical tools using AI/ML methods. Explore approaches such as causal inference, agent-based modeling, or LLM-based analysis where appropriate. Communicate findings through reports, visualizations, or lightweight prototypes. Collaborate with an interdisciplinary team and incorporate feedback into your work. Qualifications Must be currently enrolled in a PhD program Demonstrated experience developing AI/ML tools or systems. Proficiency in Python and common data science or machine learning libraries. Strong problem-solving skills and ability to work in open-ended, ambiguous settings. Interest in applying AI to human-centered, real-world problems. Bonus Qualifications Experience with causal inference, probabilistic modeling, or time-series analysis. Experience with NLP, LLMs, or working with unstructured text data. Familiarity with agent-based simulations or complex systems modeling. Background or interest in social sciences such as psychology, sociology, or organizational behavior. Strong interest in creative, unconventional, or underexplored research directions. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-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. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Keywords: Toyota Research Institute, Petaluma , AI Research Intern – Wellbeing, Communities & Organizations, IT / Software / Systems , Los Altos, California