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.

Responsibilities

• 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

Qualifications

• 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, TensorFlow)
• 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