NeRF Machine Learning Intern at Vimmerse (W22)
Platform and SDKs to create, share, and play 3D video
About Vimmerse

Vimmerse is building a platform and tools to create, share, and play 3D immersive video. Real-world camera-captured scenes can be played back with 6 Degrees of Freedom (6DoF)

About the role
Skills: Machine Learning

Vimmerse (YC W22) is seeking a graduate student intern to research and develop a novel view synthesis solution for camera-captured 3D video scenes, utilizing Neural Radiance Fields (NeRF) and machine learning. Responsibilities include customizing and retraining NerF for Vimmerse’s multi-view video content. The position will be fully remote and international locations are acceptable. Minimum internship duration is 4 months full-time.

Qualified candidates will be self-driven, hard-working, strong collaborators, good communicators, and passionate about emerging technologies, and can operate in a highly dynamic environment. Preferred candidates are graduate students with research experience and published papers on Neural Radiance Fields (NeRF).

Required skills:

  • TensorFlow
  • Pytorch
  • Python
  • Machine learning


  • Publications in computer vision and/or machine learning conferences and journals
  • Contribution to open-source projects
  • Graduate student in Computer Science, Computer Engineering, or Electrical Engineering

Vimmerse uses the new MPEG Immersive Video (MIV) standard to provide novel view synthesis from multi-view color texture + depth videos.

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internRemoteMachine LearningSenior and above

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