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About the role

Research Scientist Intern, Photorealistic Telepresence (PhD) at Meta

Required Skills

pythonpytorchcomputer visioncomputer graphicsmachine learningneural renderinggenerative ai3d modeling

About the Role

Research Scientist Intern focused on photorealistic telepresence in VR/AR, involving neural rendering, generative AI, and 3D human modeling. The role requires solving inverse problems in imaging and collaborating across disciplines. Internships last 12-24 weeks with opportunities to publish at leading conferences.

Key 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

Required Skills & Qualifications

Must Have:

  • Currently has or is 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

Nice to Have:

  • Proven track record of achievements demonstrated by patents and first-authored publications at leading conferences
  • Intent to return to a degree-program after the internship
  • Experience working and communicating cross functionally in a team environment
  • Demonstrated software engineer experience via internship, work, coding competitions, or open source contributions
  • Experience with systems building in Python or C++
  • Experience with Machine Learning for 3D data (meshes, point clouds, gaussian splatting, voxels)
  • Experience with Machine Learning for Visual Synthesis
  • Experience with hardware prototyping