Research Scientist Intern, Photorealistic Telepresence (PhD)

Position Overview

Meta's XR Codec Interactions and Avatar org is looking for exceptional research interns to help create a revolution in AR and VR: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Responsibilities

• Solve research problems in enabling photorealistic telepresence and autonomous social agents.
• Collaboration with and support of other researchers across various disciplines.
• Communication of research agenda, progress, and results.

Requirements & Skills

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field
• Experience with solving "inverse problems" in imaging emphasizing modeling and algorithm development
• 2+ years of experience with Machine Learning for solving computer vision and computer graphics problems
• Experience with deep learning frameworks such as Pytorch and TensorBoard
• Experience with scientific programming languages such as Python
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

• Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similar
• Intent to return to a degree-program after the completion of the internship
• Experience working and communicating cross functionally in a team environment
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience with systems building in Python or C++
• Experience with large-scale generative models such as LLMs and video diffusion models
• Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
• Experience with Machine Learning for audio and visual synthesis