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

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