[Remote] Research Scientist Intern, Multimodal Generative AI and Robotics (PhD)

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. Meta is a technology company focused on connecting people and creating immersive experiences. The Research Scientist Intern will work on cutting-edge research in machine learning and computer vision, collaborating with teams to develop innovative AI and robotic systems. 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 Skills 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 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, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience working and communicating cross functionally in a team environment Benefits Benefits Company Overview Meta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 2004, and is headquartered in Menlo Park, CA, US, with a workforce of 10001+ employees. Its website is
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