Research Scientist Intern, Photorealistic Telepresence (PhD)
About The Position
Meta’s Human AI organization seeks research interns to help develop photorealistic telepresence in virtual reality. The work aims to enable people to be together from anywhere through advances in artificial intelligence, computer vision, and computer graphics. The team regularly publishes research at leading conferences and journals. Potential projects include diffusion-based image and video generation models; model optimization and efficiency; neural rendering and relighting of digital humans; motion and behavior synthesis for digital humans; VR/AR encoding of social signals; and reconstruction and tracking of face, hand, body, and cloth models. Internships last 12 to 24 weeks, with various start dates throughout the year.
Requirements
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or a related field.
- Experience solving inverse problems in imaging, emphasizing modeling and algorithm development.
- At least 2 years of experience using machine learning to solve 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.
Nice To Haves
- A record of achieving significant results, 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 completing the internship.
- Experience working and communicating cross-functionally in a team environment.
- Demonstrated software engineering experience through an internship, work experience, coding competitions, or widely used contributions to open-source repositories such as GitHub.
- Experience building systems in Python or C++.
- Experience with machine learning for 3D data, such as meshes, point clouds, Gaussian splatting, and voxels.
- Experience with machine learning for visual synthesis.
- Experience with hardware prototyping.
Responsibilities
- Solve research problems in enabling photorealistic telepresence.
- Collaborate with and support researchers across various disciplines.
- Communicate research agenda, progress, and results.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
