Fundamental AI Researcher - FAIR

Summary: Meta is seeking a researcher to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. The team focuses on research in developing learning algorithms with enhanced reasoning, memory and alignment methods. Our current projects span improved learning objectives, self-supervised learning objectives, higher-level reasoning, and new memory techniques. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. Required Skills: Fundamental AI Researcher - FAIR Responsibilities: 1. Perform research to advance the science and technology of intelligent machines, particularly on topics around reasoning, alignment and memory 2. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities) 3. Work towards long-term research goals, while identifying immediate milestones 4. Influence progress of relevant research communities by producing publications 5. Open source high quality code and produce reproducible research Minimum Qualifications: Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A PhD in AI, computer science, data science, or related technical fields 8. 2+ years of industry or equivalent PostDoctoral experience in relevant research areas, such as: machine learning, optimization, computer vision, natural language processing 9. First-authored publications at peer-reviewed conferences, such as ACL, EMNLP, NeurIPS, ICML, ICLR and other similar venues 10. Experience holding an industry, postdoctoral, faculty, or government researcher position 11. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas 12. Research publications reflecting experience in theoretical or empirical research 13. Experience in developing and debugging in Python or similar programming languages 14. Experience in analyzing and collecting data from various sources Preferred Qualifications: Preferred Qualifications: 15. Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions 16. Experience in developing optimization algorithms and theory, distributed training of large-scale machine learning models, and comparing alternative solutions, trade-offs, and different perspectives 17. Experience collaborating in a team environment on research projects Public Compensation: $74.04/hour to $217,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Created: 2026-01-26