Toyota Research Institute (TRI) is developing new tools and capabilities to amplify the human experience and improve the quality of human life, with a focus on transformative shifts in mobility through research in areas like Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. The Learning From Videos (LFV) team specifically aims to make progress on scientific challenges around robot deployment in real-world unstructured environments by developing foundational models that understand the world, predict future states, and adapt to new circumstances.
Requirements
- Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).
- 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.
- Passion for large scale challenges in ML and CV grounded in physical systems, especially in the space of robotics.
- 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.
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.
- Proposing, conducting, and transferring pioneering research on the intersection between Computer Vision and Robotics.
- 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.
- Test your ideas in simulators as well as in the real world.
- Stay up to date on the state-of-the-art in Machine Learning ideas and software.
Other
- Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields.
- Partner with a multidisciplinary team, including other research scientists and engineers across the LFV team, the Robotics division, TRI, Toyota, and our university partners.
- Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.
- A reliable teammate who loves to think big, go deeper, and deliver with integrity.
- Summer 2026 paid 12-week internship opportunity.
