- Solve research problems in enabling Photorealistic Telepresence.
- Collaboration with and support of other researchers across various disciplines.
- Communication of research agenda, progress, and results.
- 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.
- 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 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.
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