Website Meta
Responsibilities
Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
Invent/ improve novel data driven paradigms for embodied intelligence.
Explore, and conceptualize ways to leverage various data modalities (images, video, text, audio, tactile, etc) and the roles they play in various levels of embodied reasoning and decision making.
Investigate paradigms that can deliver a spectrum of embodied behaviors – from simulated characters to real robots, and from short horizon, low level to long horizon, high level.
Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, 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.
Minimum Qualifications
Currently has, or is in the process of obtaining, a PhD in Artificial Intelligence, Robotics, or related fields.
Currently has, or is in the process of obtaining, a PhD in Artificial Intelligence, Robotics, or related fields.
Research experience in embodied AI, robotics, computer vision, machine learning, human-AI interaction, and computer science.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience with Python, C++, C, or other related language.
Experience with deep learning frameworks such as PyTorch.
Preferred Qualifications
Intent to return to the degree program after the completion of the internship/co-op.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) and NLP (ACL, NAACL).
Experience building systems based on machine learning and/or deep learning methods.
Experience working and communicating cross functionally in a team environment.
Experience in advancing AI techniques, including core contributions to open source libraries and frameworks.
Experience solving analytical problems using quantitative approaches.
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
Experience in utilizing theoretical and empirical research to solve problems.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.