[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 # Software Engineer - Reinforcement Learning Infrastructure, MSL (Technical Leadership) Menlo Park, California, US Full-time Software Engineering Listed on Meta Platforms’s official careers site. Posted October 12, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1665646581625034/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Software Engineer - Reinforcement Learning Infrastructure, MSL (Technical Leadership) ## Job description Meta is seeking a hands-on technical leader to advance Personal Superintelligence within Meta Superintelligence Labs (MSL). This role focuses on building and maintaining RL infrastructure that can support the latest evals, RL datasets, and experimentation at the frontier of consumer and enterprise agents, coding, and beyond. In this role, you will work across the research stack as well as connect the research stack to product by building black-box RL infrastructure. You will collaborate across research, product engineering, data, and infrastructure to identify high-leverage opportunities and deliver tangible impact. ## Responsibilities Maintain RL black-box environment verticals for Muse, MetaAI, and other internal products Ensure that we can securely run the most challenging agentive evals and RL problems Think holistically about security, development environments for RL, their interactions with various VM solutions, and our core RL infrastructure framework ## Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Bachelor’s or Master’s degree in a relevant technical field, or equivalent practical experience - 6+ years of industry experience in machine learning engineering, AI research, software engineering, or a related field - 4+ years of providing technical leadership for complex, multi-person projects Experience working on reinforcement learning infrastructure at scale — PPO/GRPO-family algorithms, RLHF/RLAIF, or agentic RL with long-horizon, tool-using rollouts Strong Python, plus proficiency in a systems language (C++, Rust, or Go) - Track record of solving ambiguous, real-world problems and delivering measurable impact within defined timelines - Ability to work independently, lead across functions, and adapt quickly as evidence and priorities evolve Experience building sandboxed execution or environment infrastructure Experience building platforms used by research teams, with a track record of good API/abstraction design Contributions to open-source machine learning infrastructure Comfort with ambiguity and rapidly shifting research priorities ## At a glance - Posted by the employer: Oct 12, 2026 - First seen by OpenNash: Oct 18, 2026 - Last checked: Oct 18, 2026 - Listed for: 6 days - Location: Menlo Park, California, US - Employment type: Full-time[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1665646581625034/) ## More jobs at Meta Platforms ### [Software Engineering Manager](https://jobs.opennash.com/companies/meta-platforms/jobs/97cd732b8474a95ba7fb/) Menlo Park, California, US ### [Application Engineer, Salesforce](https://jobs.opennash.com/companies/meta-platforms/jobs/d9335707c0de5397c5a8/) Menlo Park, California, US ### [Business Operations Manager, Infrastructure Data Centers](https://jobs.opennash.com/companies/meta-platforms/jobs/6be16a9a243e95c21cde/) Menlo Park, California, US ### [Data Scientist, Meta Superintelligence Labs (Safety)](https://jobs.opennash.com/companies/meta-platforms/jobs/9e28422b05774ad77bea/) Menlo Park, California, US ### [Electrical Engineer, Data Center - Design Engineering and Construction - Ops Eng](https://jobs.opennash.com/companies/meta-platforms/jobs/8e8840df6607d2c790d6/) Menlo Park, California, US ## Similar jobs at other companies ### [Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)](https://jobs.opennash.com/companies/target/jobs/67b821e969699f715f95/) Target · Minneapolis, MN ### [Machine Learning Engineer II - Learned Planning (Reinforcement Learning)](https://jobs.opennash.com/companies/daimler-truck-holding/jobs/28db60d192da04d969f8/) Daimler Truck Holding · Remote - US, Ann Arbor, MI ### [Software Development Engineer (Machine Learning)](https://jobs.opennash.com/companies/fortinet/jobs/b767b5cf9b10bdd48539/) Fortinet · Sunnyvale, CA, United States ### [Lead Software Engineer - Machine Learning](https://jobs.opennash.com/companies/jpmorganchase/jobs/815edc9fa3516a660061/) JPMorganChase · Palo Alto, CA, United States ### [Senior/Staff Deep Reinforcement Learning Engineer - DoorDash Dot](https://jobs.opennash.com/companies/doordash/jobs/c8da29404b8f11836843/) DoorDash · San Francisco, CA [Jobs in Menlo Park, CA](/locations/us/ca/menlo-park/)[Jobs in California](/locations/us-ca/)[Software Engineering jobs](/functions/software-engineering/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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