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Meta's Fundamental AI Research (FAIR) group is looking to advance the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world, specifically in areas like embodied AI and robotics.

Requirements

• Research experience in embodied AI, robotics, computer vision, machine learning, human-AI interaction, and computer science
• Experience with Python, C++, C, or other related language
• Experience with deep learning frameworks such as PyTorch
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) and NLP (ACL, NAACL), or similar
• Experience building systems based on machine learning and/or deep learning methods
• Experience in advancing AI techniques in robotics, including core contributions to open source libraries and frameworks in computer vision, machine learning or robotics
• Experience with deep learning frameworks

Responsibilities

• Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
• Invent and/or improve novel data driven paradigms for embodied intelligence.
• Explore and conceptualize ways to leverage various data modalities (images, video, text, tactile, etc) and the roles they play in various levels of embodied reasoning and decision making.
• Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, question answering, goal and intent prediction, egocentric activity recognition, collaboration with humans) in human environments given natural-language instructions, like “clean up the house,” or “where are my glasses.”
• Enable low-level skills for Embodied AI tasks (broad dexterous and functional manipulation, rigid to deformable objects in-hand to against the environment) in a generalizable manner.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Publish research results and contribute to research that can be applied to Meta product development.

Other

• Currently has or is in the process of obtaining a Ph.D. degree in Artificial Intelligence, Robotics, or relevant technical field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Intent to return to degree program after the completion of the internship/co-op
• Experience working and communicating cross functionally in a team environment
• Publications or experience in robotics, machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science