---
title: 'Human-Centered AI Research Intern, Human Language Models at Toyota Research Institute'
canonical: 'https://feeny.ai/job/human-centered-ai-research-intern-human-language-models-toyota-research-2yydjjbt6xcm'
type: 'job'
last_seen: '2026-11-09'
---

# Human-Centered AI Research Intern, Human Language Models at Toyota Research Institute

- **Company:** Toyota Research Institute
- **Location:** Los Altos, CA
- **Employment:** internship
- **Work type:** hybrid
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.lever.co/tri/d4184c04-b963-489a-9a0b-91bc57d6267e

## 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 Team This internship opportunity falls within the Adaptive Behavior Systems team of Human-Centered AI Division (HCAI). We are an integrated team of researchers with backgrounds in machine learning, the behavioral sciences, and human-computer interaction. At the core of our work, we aim to create technologies that prioritize human-centered outcomes and enable purposeful human futures. The Internship We are seeking a PhD research intern to join our Adaptive Behavior Systems team to push the boundaries of LLM-based human modeling and simulation. The intern will collaborate with our interdisciplinary team to study how language-based generative machine learning models represent human intentions and behavior and develop methods for evaluating how well these models capture individual differences and diverse human perspectives. The project will be focused on a specific sub-area of the overall research program. The intern will further engage in strategy discussions about how the research connects to business impact at Toyota. This is a Summer 2027 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.

## Responsibilities

In collaboration with your mentor and the other researchers in the department, you will:

- Scope a research project to align with our core research efforts
- Be the primary driver of the technical plan (e.g., problem formulation, model development, evaluation design) with regular feedback from your mentor and teammates
- Execute the project using TRI resources
- Present the project’s approach and findings in research meetings to the Adaptive Behavior Systems Department, the HCAI Division, and TRI, as well as for stakeholders from Toyota business groups

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

## Qualifications

- Ph.D. Student in related fields - AI/ML, computer science, computational social science, or related field
- Research experience with LLMs and a publication record in relevant topics. Relevant areas include: LLM evaluation and benchmarking, personalization and user modeling, LLM post-training and alignment, and computational human modeling.
- Experience with Python programming and DL frameworks like PyTorch.
- Interest in human-centered research (e.g. behavioral science, computational social science).
- Excellent communication and teamwork skills.

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 $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.

## About Toyota Research Institute

## Company Overview
- **One-liner**: Toyota Research Institute (TRI) conducts advanced research in AI, robotics, automated driving, and energy materials to amplify human ability and improve quality of life.
- **Entity Type**: Private (Subsidiary of Toyota Motor Corporation)
- **Headquarters**: Los Altos, California, United States
- **Founded**: 2016 (per LinkedIn)
- **Founders**: Not publicly disclosed; led by CEO Dr. Gill Pratt

## Core Business
- **Primary industries**: Artificial intelligence, robotics, automated driving, energy & materials, human-centered AI
- **Target customers**: Internal (Toyota), academic partners (Stanford, MIT), and eventual commercial deployment through Toyota
- **Mission**: “Improve the quality of human life” and “Enable mobility for all” by creating tools and capabilities that make lives safer, more sustainable, and more independent.

## Products & Services
TRI is organized around four core research areas, each producing prototypes, software, and intellectual property:

- **Automated Driving**: Developing safe, scalable automated driving technology to enable mobility for all.
- **Energy & Materials**: Accelerating carbon neutrality through innovations in batteries, hydrogen fuel cells, and emissions-free vehicles.
- **Human-Centered AI**: Using AI to understand human behavior and interactions, aiding decision-making and improving human-machine collaboration.
- **Human Interactive Driving**: Building intelligent vehicles that place the human at the center of the driving experience.
- **Robotics**: Creating human‑amplification robotic capabilities for aging society, labor shortages, and sustainable production (mobile manipulation, user interfaces, prototyping).

## Market Standing
- **Valuation / Market Cap**: Not applicable (private subsidiary of Toyota Motor Corporation)
- **Key Metric**: Headcount of 323 employees (+12.6% YoY, +53 people) as of late 2025/early 2026
- **Notable Investors / Partners**: Toyota Motor Corporation (parent), Stanford University, Massachusetts Institute of Technology (MIT), Toyota Ventures (venture arm)
- **Growth Signals**: 12.6% headcount growth; 978 scholarly works with 141,269 citations (field‑weighted citation impact 4.9); 46% of works involve international collaboration; active hiring across multiple research and engineering roles

## Competitive Advantages
- **Toyota Backing**: Access to Toyota’s global resources, manufacturing expertise, and long‑term strategic vision.
- **Top Talent**: Over half of the technical team holds PhD degrees; 454 actively affiliated researchers, with 266 recent arrivals.
- **Academic Partnerships**: Close collaboration with Stanford and MIT, enabling cutting‑edge research and talent pipeline.
- **Mission‑Driven Research**: Focus on real‑world impact (mobility, aging society, carbon neutrality) rather than short‑term product cycles.

## Strategic Focus
- **Current Priorities**: Advancing embodied AI and large behavior models; scaling mobile manipulation robots for real‑world tasks; developing next‑generation battery and hydrogen fuel cell materials; achieving emissions‑free mobility.
- **Direction for Growth**: Expanding robotics capabilities to address labor shortages and aging populations; deepening human‑AI interaction research; bringing advanced mobility technology to market faster through Toyota.

## Why Work Here
- **Work‑Life Balance**: 4‑day workweek (every Friday off), flexible hybrid model, 4 weeks paid vacation, generous holiday schedule.
- **Benefits**: 401(k) with matching and profit sharing, medical/dental/vision, 16‑26 weeks paid parental leave, back‑up child/elder care, gender‑affirming care, fertility benefits, pet insurance, life insurance.
- **Wellness & Development**: Monthly well‑being stipend, on‑demand fitness/nutrition/mindfulness resources, employee assistance program, learning and development programs.
- **Culture**: Diverse and inclusive community; values‑driven collaboration; “how we work” is as important as what we do.
- **Locations**: Los Altos (HQ, Silicon Valley) and Cambridge, MA (robotics lab). Remote/hybrid options available.
- **Engineering Culture**: Strong emphasis on research excellence, PhD‑heavy environment, opportunity to publish and patent, intern program for top students.

## Sources
1. [tri.global/careers](https://www.tri.global/careers)
2. [tri.global/about-us](https://www.tri.global/about-us)
3. [linkedin.com/company/toyota-research-institute](https://linkedin.com/company/toyota-research-institute)
4. [jobs.lever.co/tri](https://jobs.lever.co/tri)
5. [tri.global/our-work/robotics](https://www.tri.global/our-work/robotics)

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