Research Engineer - Meta Superintelligence Labs (Technical Leadership)

Meta is seeking a hands-on technical leader to advance Personal Superintelligence within Meta Superintelligence Labs (MSL). This role focuses on turning ambiguous, real-world product problems into shipped systems and measurable improvements in frontier-model capabilities, including long-horizon agents, tool use, full-stack coding, search, and personalization. In this role, you will work across the full research-to-product stack—from user experiences, backend systems, and agent environments to data, evaluations, post-training, and deployment, collaborating across research, product, design, engineering, data, and infrastructure to identify high-leverage opportunities and deliver tangible impact within clear timelines.

Research Engineer - Meta Superintelligence Labs (Technical Leadership) Responsibilities

• Work hands-on across the full LLM post-training stack
• Build high-quality training data and design and run rigorous, product-relevant evaluations
• Execute, analyze, and iterate on large-scale post-training runs
• Own end-to-end model capability hill-climbing, from identifying gaps through data, training strategy, evaluation, deployment, and product feedback
• Advanced long-horizon agent capabilities, including tool use, full-stack coding, search, planning, and personalization
• Develop realistic harnesses, environments, and evaluations for agentive tasks spanning code understanding, implementation, testing, debugging, and tool use
• Research improved training, evaluation, synthetic-data generation, and data curation strategies
• Translate ambiguous user and product needs into tractable research questions, technical plans, and measurable outcomes
• Lead complex cross-functional projects end-to-end while remaining deeply involved in implementation, experimentation, and analysis

Minimum 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 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 in developing or improving frontier-quality large language models or related foundation models
• Deep, hands-on experience with state-of-the-art LLM post-training, data generation, evaluation, experimentation, and model behavior analysis
• 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

Preferred Qualifications

• Publications at leading peer-reviewed venues such as NeurIPS, ICML, ICLR, ACL, or EMNLP, or equivalent have demonstrated industry impact in AI
• Experience taking model capabilities from research prototypes to production products
• Experience with large-scale distributed systems and high-throughput data pipelines
• Experience developing agent harnesses, realistic environments such as web browsers or coding sandboxes, and associated evaluations
• Extensive experience with long-horizon agents, agentive coding, tool use, personalization, or search

Meta 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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $219,000/year to $301,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.