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

Minimum 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

Preferred Qualifications

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