[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Menlo Park, CA +2 more # AI Research Scientist - MSL FAIR Alignment Menlo Park, CA +2 more Research & Science Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1313515540769118/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / AI Research Scientist - MSL FAIR Alignment ## Job description Meta is seeking AI Researchers to join the FAIR RAM (Reasoning, Alignment, Memory) team, part of the FAIR pillar in Meta Superintelligence Labs. Our team pursues curiosity-driven research to develop learning algorithms with enhanced reasoning, memory, and alignment. Current projects span long-horizon reinforcement learning + agents, improved learning + self-supervised learning objectives, higher-level reasoning, new memory techniques, and scalable alignment methods including self-alignment, self-improvement, and co-improvement. Our team is a research-centric team working across both pure research and research-to-product (R2P). We conduct cutting-edge fundamental AI research with industry-scale resources, and we openly publish our results. ## Responsibilities Define and drive research agendas in reasoning, memory, alignment, and agentic learning. Design and run large-scale experiments to test novel algorithmic ideas, including long-horizon RL, self-supervised objectives, and tool-using agents. Develop new methods for scalable alignment - self-alignment, self-improvement, and co-improvement loops that reduce dependence on human-annotated supervision. Invent and evaluate new memory architectures and techniques for models that reason over long contexts and extended horizons. Conduct cutting-edge fundamental AI research, publishing at top-tier venues, and contribute to the research community through reviewing, talks, and collaboration. Partner closely with other fundamental research teams in MSL, and research-to-product teams in other pillars. ## Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in Computer Science or a related technical field - 2+ years of industry research experience in Generative AI and LLM 1+ year of experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams - Research experience in LLM post-training and/or agents Published research in leading peer-reviewed conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and/or demonstrated significant industry influence in the field of AI Proficiency in Python and a modern deep learning framework (e.g., PyTorch) Domain expertise in LLMs for agents, higher-level reasoning, alignment methodologies, and/or new memory techniques First-author publications at top peer-reviewed conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) Experience working on frontier-quality, state-of-the-art Large Language Models ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Menlo Park, CA +2 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1313515540769118/) ## More jobs at Meta Platforms ### [AI Research Scientist, Video Generation and Post Training, FAIR](https://jobs.opennash.com/companies/meta-platforms/jobs/2e4ac1aa02f27695e42b/) Menlo Park, CA +2 more ### [Research Scientist, Demography and Survey Sciences](https://jobs.opennash.com/companies/meta-platforms/jobs/958c5046cf626c2e3ab3/) Menlo Park, CA +2 more ### [Business Development Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/5aadede51f42b9e2c13d/) Menlo Park, CA +2 more ### [Data Engineer Intern, Product Analytics (Summer 2027)](https://jobs.opennash.com/companies/meta-platforms/jobs/41f3a52937130c08e680/) Menlo Park, CA +2 more ### [Partner Engineer, Wearables](https://jobs.opennash.com/companies/meta-platforms/jobs/10d8268f83cf8e281369/) Menlo Park, CA +2 more ## Similar jobs at other companies ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO ### [Data Scientist, Operations Research](https://jobs.opennash.com/companies/cardinal-health/jobs/ce82441f816d003d13aa/) Cardinal Health · International ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/3a6f034bd7cf9918f9ec/) Lockheed Martin · Fort Worth, TX OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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