[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 # AI Research Manager - Meta Superintelligence Labs Menlo Park, CA Manager or lead 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/1611860677320474/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / AI Research Manager - Meta Superintelligence Labs ## Job description Meta is seeking a Research Scientist Manager to join Meta Superintelligence Labs (MSL). In this role, you’ll lead the efforts of building and shipping personal superintelligence at the frontier. This is a technical leadership role requiring research expertise, people management skills, and the experience of driving execution on open-ended AI challenges with high reliability. In this role, you will manage teams of researchers and technical leaders working on large-scale AI problems. The evaluations and datasets your team builds will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will maintain high velocity across your team while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, guiding your team through a wide variety of problems in the LLM post-training space. If you are excited about defining the capabilities that drive AI progress, have a track record of building high-performing technical research teams, and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting leadership opportunity at the core of MSL. ## Responsibilities ### Team leadership & management Build, mentor, and grow a team of research scientists and research engineers Technical Strategy & Execution: Oversee work across the full LLM post-training stack. Influence the technical roadmap and research direction. Translate ambiguous user and product needs into tractable research questions, technical plans, and measurable outcomes Cross-functional collaboration: Lead complex cross-functional projects end-to-end Hands-on technical contributions: Maintain technical credibility through hands-on contributions to critical projects. Review code, provide technical guidance, and unblock complex scaling or modeling challenges. Define and maintain clear research quality standards and engineering best practices and engineering standards for the team ## Qualifications PhD degree in Computer Science, Machine Learning, or a related technical field - 6+ years of industry experience in AI research, machine learning, or a closely related technical field - 4+ years of experience managing teams of researchers or engineers, including experience managing other technical leaders or managers Experience working on frontier-quality/state-of-the-art Large Language Models. Deep, practical experience in LLM post-training Demonstrated ability to balance hands-on technical work with people management and strategic planning Experience communicating technical strategy and research direction to cross-functional stakeholders Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to deep learning, language models, or data-centric AI Hands-on experience managing teams that build language model post-training pipelines (SFT/RLHF/RLVR), synthetic data generation, or high-quality evals infrastructure Experience in implementing or developing environments for agentive workflows (e.g., tool use, web browsing environments, coding sandboxes) Extensive experience working on long horizon agents, agent tool use, personalization, and/or search Experience building infrastructure for agentive workflows, tool-use data collection, or reinforcement learning environments Experience building and scaling large-scale distributed systems and high-throughput data processing pipelines Experience managing teams in fast-paced research or startup environments ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Aug 20, 2026 - Last checked: Oct 18, 2026 - Listed for: 59 days - Location: Menlo Park, CA[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1611860677320474/) ## More jobs at Meta Platforms ### [AI Research Engineer](https://jobs.opennash.com/companies/meta-platforms/jobs/2ce2068cd9fcf1053dc1/) Menlo Park, CA ### [AI Research Scientist - MSL FAIR Foundations](https://jobs.opennash.com/companies/meta-platforms/jobs/d18ce9293309ea34ebd4/) Menlo Park, CA ### [AI Research Scientist - Meta Superintelligence Labs (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/44ab514fe53310304599/) Menlo Park, CA ### [AI Research Scientist, AI Safety and Security](https://jobs.opennash.com/companies/meta-platforms/jobs/c4a620c30eddb9df62ec/) Menlo Park, CA ### [AI Research Scientist, Robotics - Meta Superintelligence Labs](https://jobs.opennash.com/companies/meta-platforms/jobs/f52f61c03c869aa03735/) Menlo Park, CA ## Similar jobs at other companies ### [Manager Labs - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/ef35c6db529c3470570c/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Retail Sales Specialist - Meta](https://jobs.opennash.com/companies/best-buy/jobs/bd56d90c5951c37b2992/) Best Buy · Alpharetta, Georgia ### [Retail Sales Specialist - Meta](https://jobs.opennash.com/companies/best-buy/jobs/73e92a7a0aa1cd011a38/) Best Buy · Colma, California ### [Staff UX Research Manager, Google Labs](https://jobs.opennash.com/companies/alphabet/jobs/eacd9f42eddc3154927a/) Alphabet · Mountain View, CA, USA ### [Experienced Global Study Manager – Clinical Research, Central Labs Services](https://jobs.opennash.com/companies/labcorp-holdings/jobs/fe4eb5f17d7b48915302/) Labcorp Holdings · Indianapolis, Indiana, United States of America [Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)