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

Summary:

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.

Required Skills:

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

1. Maintain RL black-box environment verticals for Muse, MetaAI, and other internal products

2. Ensure that we can securely run the most challenging agentive evals and RL problems

3. Think holistically about security, development environments for RL, their interactions with various VM solutions, and our core RL infrastructure framework

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Bachelor’s or Master’s degree in a relevant technical field, or equivalent practical experience

3. 6+ years of industry experience in machine learning engineering, AI research, software engineering, or a related field

4. 4+ years of providing technical leadership for complex, multi-person projects

5. Experience working on reinforcement learning infrastructure at scale — PPO/GRPO-family algorithms, RLHF/RLAIF, or agentic RL with long-horizon, tool-using rollouts

6. Strong Python, plus proficiency in a systems language (C++, Rust, or Go)

7. Track record of solving ambiguous, real-world problems and delivering measurable impact within defined timelines

8. Ability to work independently, lead across functions, and adapt quickly as evidence and priorities evolve

Preferred Qualifications:

Preferred Qualifications:

1. Experience building sandboxed execution or environment infrastructure

2. Experience building platforms used by research teams, with a track record of good API/abstraction design

3. Contributions to open-source machine learning infrastructure

4. Comfort with ambiguity and rapidly shifting research priorities

Public Compensation:

$219,000/year to $301,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].