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Research Scientist Intern, 3D Computer Vision and Generative Imaging (PhD)

image

Meta

Feb 12

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • London

Requirements

  • Prior experience with Meta can be considered to supplement an applicant’s prior years of experience or types of prior experience to meet the minimum qualifications of the position.
  • Currently has or is in the process of obtaining a PhD degree in the field of deep learning, computer vision, computer graphics or related technical fields.
  • 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 first-authored publications in SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.
  • 2+ years experience with deep learning software libraries such as PyTorch.
  • Past experience with cross-group and cross-culture collaboration.
  • Preferred Qualifications:
  • Machine learning experience in diffusion models, neural 3D reconstruction, neural rendering, view synthesis, computational photography or related topics.
  • Broad understanding of the full machine vision pipeline from cameras to high-level algorithms.
  • Intent to return to degree-program after the completion of the internship.

Responsibilities

  • Conceive and develop 3D computer vision and generative imaging algorithms.
  • Collaborate with the larger Meta Reality Labs Research team and provide creative direction on the project.
  • Publish research results in top-tier venues.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.