Robotics Intern, World Foundation Models

The Team

The World Foundation Models (WFM) team in the Robotics division is looking for research interns for the summer of 2027 in areas such as Video Generation, World Modeling, World-Action Models, 4D Reconstruction, Learning from Egocentric Videos, Multi-Modal Foundation Models, Multi-View Geometry, and Data Augmentation, with a primary focus on embodied applications. The mission is to develop foundational models capable of understanding how the world works, predicting possible future states, and adapting to new environments.

The Internship

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, 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.

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 WFM team, the Robotics division, TRI, Toyota, and university partners.
• Stay up to date on state-of-the-art Machine Learning ideas and software.
• Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.

Qualifications

• 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 relevant 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 WFM 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.