Robotics Intern - Large Behavior Models, Learning From Videos (LFV)

Toyota Research InstituteLos Altos, CA
100d$45 - $65

About The Position

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 in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. As a Research Intern, you will work with a multidisciplinary team proposing, conducting, and transferring pioneering research on the intersection between Computer Vision and Robotics. You will use large amounts of data from different sources and modalities, and train large-scale foundation models aimed at solving open problems, work towards publications at top academic venues, and test your ideas in simulators as well as in the real world.

Requirements

  • Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields.
  • Publication or desire to publish at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, UAI, AISTATS, AAAI, TMLR, RSS, ICRA, IROS, RA-L, etc.) on some of the aforementioned topics.
  • Passionate about large scale challenges in ML and CV grounded in physical systems, especially in the space of robotics.
  • Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).
  • Ability to collaborate with other researchers and engineers of the LFV team, and, more broadly, the Robotics division to invent and develop interesting research ideas.
  • A reliable teammate who loves to think big, go deeper, and deliver with integrity.

Responsibilities

  • Conduct daring research in Computer Vision that solves open problems of high theoretical and practical value, and evaluate solutions on real-world benchmarks and systems, with a focus on robotics.
  • Push the boundaries of knowledge and the state-of-the-art in Visual Systems for Robotics.
  • Partner with a multidisciplinary team, including other research scientists and engineers across the LFV team, the Robotics division, TRI, Toyota, and our university partners.
  • Stay up to date on the state-of-the-art in Machine Learning ideas and software.
  • Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.

Benefits

  • Generous benefits package including vacation and sick time.
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