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Research Scientist, 3D Generative AI (PhD)
Research Scientist, 3D Generative AI (PhD)-January 2024
London
Jan 20, 2026
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Social Media, Technology
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About Research Scientist, 3D Generative AI (PhD)

  Summary:

  Meta is seeking AI Research Scientists to join its 3D Generative AI efforts. Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, reinforcement learning, computer perception, natural language processing and speech. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent, or to work on more applied problems across the company.

  Required Skills:

  Research Scientist, 3D Generative AI (PhD) Responsibilities:

  Lead and collaborate on research projects within a globally based team to advance the science and technology of intelligent machines

  Lead research that enables learning the semantics of data (3D, images, video, text, audio, speech and other modalities)

  Work towards long-term ambitious research goals, while identifying intermediate milestones

  Drive team goals & technical direction to pursue opportunities that make your larger organization more efficient

  Influence progress of relevant research communities by producing publications

  Contribute research that can be applied to Meta product development

  Devise better data-driven models of human behavior

  Minimum Qualifications:

  Minimum Qualifications:

  Ph.D. and top-level publications in machine learning, AI, computer vision, computer graphics (and in particular, 3D generation or reconstruction, neural rendering).

  Proven work experience in a university or industry lab(s), in a lead role with primary emphasis on AI research

  Experience in theoretical and empirical research and for addressing research problems

  Experience communicating research for public audiences of peers

  Knowledge in a programming language

  Preferred Qualifications:

  Preferred Qualifications:

  Experience leading a team in solving modeling problems using AI/ML approaches

  First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, SIGGRAPH)

  Experience driving original scholarship in collaboration with a team

  Experience in developing and debugging in C/C++, Python, or C#

  Industry: Internet

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