Software Engineer - Reinforcement Learning Infrastructure, MSL (Technical Leadership)

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.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 frameworkBachelor'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 prioritiesMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .