Research Scientist

Meta is seeking Research Scientists to join the a research team team within Meta Reality Labs,Our team is developing advanced technology at the intersection of computer vision and generative AI. We're working on an initiative to bring photorealistic, real-time holographic communication to AR/VR glasses. Imagine seamless, lifelike presence in mixed reality, transforming how people connect across distances. Beyond Hologram, we're advancing Family of Apps (FoA) applications, including auto-translation with realistic lipsync on Instagram, enabling creators to reach global audiences authentically.

You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, with access to cutting-edge technology, important resources, and research facilities.

• Conduct research that extends foundation models through model fine-tuning
• Work towards long-term ambitious research goals, while identifying intermediate milestones
• Influence progress of relevant research communities by producing publications
• Contribute research that can be applied to Meta product development
• Lead and collaborate on research projects within a globally based team

• First-author publications at peer-reviewed AI/CV conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV)
• Experience in computer vision and/or generative models (e.g., diffusion models, DiT for video generation)
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
• Familiarity with one or more deep learning frameworks (e.g. PyTorch, Tensor Flow)
• Experience communicating complex research to public audiences of peers Experience working and communicating cross functionally in a team environment
• Experience in coordinating the research of PhD students or other researchers
• Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field
• Experience in AI research beyond completing a PhD
• Experience in developing and debugging beyond ML experimentation
  
  Experience in working in an industry research environment
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
• High-impact publications at peer-reviewed AI/CV conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV), as witnessed by citations and other signs of influencing the research community
• Experience with video generation, neural rendering, or 3D reconstruction