{"id":2670355,"url":"https://alion.io/job/meta-ai-research-scientist-msl-fair-alignment","title":"AI Research Scientist - MSL FAIR Alignment","company":{"id":20,"name":"Meta","domain":"meta.com","url":"https://alion.io/company/meta","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":75,"open_postings":248,"ghost_share":0,"stale_share":0.996,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Menlo Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":177000,"max_usd":395000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Self-Supervised Learning","optional":false}],"status":"closed","first_seen_at":"2026-09-28T16:34:24Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-21T18:45:47Z","board_verified":false,"closed_at":"2026-10-21T18:45:47Z","days_open":23,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":23},"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\nDefine 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.\nQualifications\nBachelor'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","description_format":"text","description_chars":2571,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Virtual & Augmented Reality","Digital Media","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-10-16T04:08:31Z"},{"event":"close","at":"2026-10-21T18:45:47Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/meta-ai-research-scientist-msl-fair-alignment","json_url":"https://alion.io/job/meta-ai-research-scientist-msl-fair-alignment.json","meta":{"generated_at":"2026-10-24T23:10:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":34069,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":20},"rest":"https://alion.io/mcp/rest/get_company?id=20"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmeta-ai-research-scientist-msl-fair-alignment"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmeta-ai-research-scientist-msl-fair-alignment"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmeta-ai-research-scientist-msl-fair-alignment"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/meta-ai-research-scientist-msl-fair-alignment\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmeta-ai-research-scientist-msl-fair-alignment"}]}