Robotics Intern, World Foundation Models

Job description

Job 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 our 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.

Job 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 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.