About the job
The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of contextual AI and robotics. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities that will underpin future contextual AI-enabled devices. The research intern will work on cutting edge research problems to innovate novel computer vision and machine learning techniques.
Responsibilities
Plan and execute cutting-edge research and development to advance the state-of-the-art in machine learning and large-scale training.
Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art contextual AI and robotic systems.
Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high-quality sensing and machine reasoning.
Qualifications
Minimum
Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, computer graphics, 3D machine perception or deep learning
Knowledge in deep learning, computer vision, graphics, generative modeling, LLMs and VLMs
Hands-on experience with implementing deep learning algorithms, large-scale training, benchmark and evaluation
Experience working within Python environments such as pytorch
Experience working in a Unix environment
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred
Preference for 24 week full time internship
Intent to return to a degree-program after the completion of the internship
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, ICLR and NeurIPS
Strong track-record of published research in the fields of LLMs, VLMs, video generation, world modeling, VLA, human motion modeling, policy learning, generative modeling etc
Strong programming experience using python and pytorch
Demonstrated software engineer experience via an internship