Come join us as we make photorealistic telepresence in VR happen!
Available projects may include, but are not limited to:
* Neural Rendering and relighting of digital humans
* Generative AI models for image and video synthesis
* Motion and behavior synthesis for digital humans
* VR/AR encoding of social signals
* Face model reconstruction and tracking
* Hand model reconstruction and tracking
* Body model reconstruction and tracking
* Hair model reconstruction and tracking
* Cloth model reconstruction and tracking
* Neural Architecture Search and Optimization
Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Photorealistic Telepresence (PhD) Responsibilities
Solve research problems in enabling Photorealistic Telepresence.
Collaboration with and support of other researchers across various disciplines.
Communication of research agenda, progress, and results.
Requirements: 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 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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