Robotics Intern, World Foundation Models
About The Position
Toyota Research Institute’s World Foundation Models team in the Robotics division is seeking research interns for summer 2027. The team works on areas including video generation, world modeling, world-action models, 4D reconstruction, learning from egocentric videos, multimodal foundation models, multi-view geometry, and data augmentation, with an emphasis on embodied applications. Its goal is to develop foundational models that understand how the world works, predict possible future states, and adapt to new environments by learning transferable priors grounded in real-world physical properties. As a Research Intern, you will work with a multidisciplinary team to propose, conduct, and transfer research at the intersection of computer vision and robotics. You will work with large datasets across different sources and modalities, train large-scale foundation models, pursue open research problems, contribute toward publications at leading academic venues, and test ideas in simulation and the real world. This is a paid, 12-week, hybrid, in-office internship.
Requirements
- Currently pursuing a Ph.D. in machine learning, robotics, or a related field.
- Publication history or desire to publish at high-impact conferences or journals on relevant topics.
- Passion for large-scale machine learning and computer vision challenges grounded in physical systems, especially robotics.
- Proficiency in one or more coding languages and systems; Python, Unix, and a deep learning framework such as PyTorch are preferred.
- Ability to collaborate with researchers and engineers across the World Foundation Models team and the broader Robotics division.
- Reliable, collaborative approach, with a willingness to think ambitiously, investigate deeply, and deliver with integrity.
Responsibilities
- Conduct computer vision research addressing open problems of high theoretical and practical value, and evaluate solutions using real-world benchmarks and systems, with a focus on robotics.
- Advance the state of the art in visual systems for robotics.
- Collaborate with research scientists and engineers across the World Foundation Models team, Robotics division, TRI, Toyota, and university partners.
- Stay current with state-of-the-art machine learning ideas and software.
- Present results through verbal and written communications at international conferences, internally, and through open-source contributions.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Paid time off, including holiday pay and sick time
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
