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.

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