Research Scientist

Meta; City of Westminster; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Meta is seeking Research Scientists to join the Reality Labs research team, developing photorealistic, real-time holographic communication for AR/VR glasses. You will explore foundation models, video generation, and immersive experiences, collaborating with interdisciplinary teams across Meta products.

The role emphasizes publishing high-impact work, advancing cross-functional projects, and shaping state-of-the-art AI research within a globally connected environment.

Qualifications

• Experience in computer vision and generative models.
• Experience training and fine-tuning foundation models.
• Experience with deep learning frameworks (PyTorch, TensorFlow).
• Ability to publish first-author papers in AI/CV conferences.

Responsabilités

• Conduct research that extends foundation models through model fine-tuning.
• Work towards long-term ambitious research goals with milestones.
• Publish results to influence research communities through publications.
• Contribute research to Meta product development.

Connaissances

Computer vision

Generative models

Foundation models

Deep learning frameworks

PyTorch

Publications

Outils

PyTorch

TensorFlow

Diffusion models

3D reconstruction

Description du poste

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.

• 1. Conduct research that extends foundation models through model fine-tuning
• 2. Work towards long-term ambitious research goals, while identifying intermediate milestones
• 3. Influence progress of relevant research communities by producing publications
• 4. Contribute research that can be applied to Meta product development
• 5. Lead and collaborate on research projects within a globally based team
• 6. First-author publications at peer-reviewed AI/CV conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV)
• 7. Experience in computer vision and/or generative models (e.g., diffusion models, DiT for video generation)
• 8. Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
• 9. Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow)
• 10. Experience communicating complex research to public audiences of peers

Preferred Qualifications:

• 11. Experience working and communicating cross functionally in a team environment
• 12. Experience in developing and debugging beyond ML experimentation
• 13. Experience in working in an industry research environment
• 14. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
• 15. 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
• 16. Experience with video generation, neural rendering, or 3D reconstruction