About this role
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