T

Toyota Research Institute

Advancing mobility through safety, automation, robotics

Human-Centered AI Research Intern - Human Language Models

Natural Language Processing & LLMsPosted on Nov 5
Internship · Summer 2027Los Altos, CA, USA$45 - $65 /hr

About the Job

Requirements

  • Be a Ph.D. student in a related field, such as AI or machine learning, computer science, or computational social science.
  • Have research experience with large language models and a publication record in relevant topics, including large language model evaluation and benchmarking, personalization and user modeling, large language model post-training and alignment, or computational human modeling.
  • Have experience with Python programming and deep learning frameworks such as PyTorch.
  • Have an interest in human-centered research, such as behavioral science or computational social science.
  • Provide a Google Scholar link with the CV to include a full list of publications.

Responsibilities

  • Scope a research project that aligns with the team’s core research efforts.
  • Drive the technical plan, including problem formulation, model development, and evaluation design, with regular feedback from the mentor and teammates.
  • Execute the project using Toyota Research Institute resources.
  • Present the project’s approach and findings in research meetings to the Adaptive Behavior Systems Department, the Human-Centered AI Division, Toyota Research Institute, and stakeholders from Toyota business groups.
  • Produce work that informs internal strategy and may be publishable in an academic journal or conference.

About the Company

Toyota Research Institute

Advancing mobility through safety, automation, robotics

TRI advances mobility by researching safety, automated driving, robotics, materials science, and machine learning, and partners with automotive manufacturers, tech firms, and research institutions to apply these innovations. Its projects translate into practical safety features, autonomous driving systems, and robotics that integrate with vehicles and other platforms, plus new materials for zero-emission mobility, guided by machine-assisted cognition to anticipate human behavior. It differentiates itself by linking rigorous research to real-world deployment within Toyota’s ecosystem and pursuing a licensing- and partnership-driven monetization model across cross-disciplinary teams. Its goal is to improve road safety, broaden safe mobility, and enhance human capabilities through smarter transportation that is cleaner and more connected.

Company size
201-500
Company stage
Seed
Total funding
$100M
Headquarters
Los Altos, CA
Founded
2016

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