Meta’s Fundamental AI Research (FAIR) lab — one of the world’s premier academic-style AI research organizations — is actively hiring Research Scientists across its global offices. FAIR operates at the frontier of machine learning, natural language processing, computer vision, and multimodal AI, publishing research that shapes the future of artificial intelligence. This is a rare opportunity to join a world-class team with the resources of a technology giant and the culture of an elite research lab. This guide covers Meta FAIR Research Scientist in full — funding, eligibility, deadlines and how to apply.
Key Details
- Employer: Meta (Facebook AI Research / FAIR)
- Locations: Menlo Park, CA; New York, NY; Seattle, WA; Paris, France; London, UK; and other Meta offices
- Role Type: Full-time, permanent
- Compensation: Total compensation ranges from approximately $305,000 to $581,000+ per year (base salary + bonus + equity); specific ranges vary by level and location (e.g., $154,000–$217,000 base for New York positions)
- Key Requirements: PhD (or equivalent research experience) in Computer Science, Machine Learning, or related field; strong publication record at top venues (NeurIPS, ICML, ICLR, ACL, CVPR, etc.); expertise in generative AI, NLP, computer vision, multimodal learning, or reinforcement learning; proficiency in Python and PyTorch
- Application Deadline: Rolling / Open — apply now
- Official Link: Meta Research Careers – Official Page
Meta FAIR Research Scientist: key details
How to Apply
Visit metacareers.com and search for “Research Scientist” or “FAIR” to find current openings. Prepare a detailed CV highlighting your research contributions, publications, and technical skills. Applications are reviewed on a rolling basis throughout the year.
Always verify deadlines and details on the official Meta Careers website before applying.
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