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Toyota Research Institute

Advancing mobility through safety, automation, robotics

Product Innovation Research Intern - Human Computer Interaction

UX ResearchPosted on Nov 11
InternshipLos Altos, CA, USA$45 - $65 /hr

About the Job

Requirements

  • Currently enrolled in a PhD program in Human Computer Interaction, Computer Science, or a related field.
  • Experience analyzing behavioral signals, such as eye gaze, mouse interactions, verbal utterances, and interaction logs, to infer and model user intent and preferences.
  • Experience designing and developing interactive research prototypes to investigate novel human-AI interaction paradigms.
  • Experience designing and conducting human-subject studies, including collecting and analyzing behavioral interaction data using quantitative and/or qualitative methods.
  • Proven track record of working autonomously while soliciting feedback.
  • Proven track record of publications at top venues, such as CHI, UIST, IUI, and UbiComp/IMWUT.
  • Strong interpersonal skills and a great teammate.
  • Strong interest in interdisciplinary work.

Responsibilities

  • Scope the project to align with the core research efforts.
  • Be the primary driver of the technical plan, such as the model development and analysis plan, with regular feedback from mentors.
  • Execute the project using TRI resources.
  • Present the project’s approach and findings in research meetings.

Desired Qualifications

  • Experience developing adaptive AI experiences from inferred preferences.
  • Familiarity with implicit preference modeling, consumer decision making, personalized recommendation systems, or user modeling.

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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