Meta is looking for a hands-on technical leader to drive advancements in Personal Superintelligence within Meta Superintelligence Labs. This role involves transforming complex, real-world product challenges into effective systems and measurable enhancements in frontier-model capabilities. The position requires collaboration across various teams, including research, product, design, and engineering, to deliver impactful results within defined timelines. The ideal candidate will have a strong background in machine learning and AI, with a focus on large language models and agent capabilities.

• 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

• 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
• Advance 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

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.