Research Engineering Manager, Post-Training

Meta is seeking a Research Engineering Manager to lead the Post-Training team within Meta Superintelligence Labs. High-quality data is the core of AI progress at MSL, fueling our frontier capabilities and determining how our models interact with the world. In this leadership role, you will guide a team of research engineers who build the full-stack infrastructure to collect, generate, and refine data for our most advanced AI models. You'll partner with world-class researchers and engineers to define the strategic vision for our data engine, ensuring your team delivers high-quality, scalable pipelines for both human-in-the-loop and synthetic data. This is a technical leadership role requiring research engineering expertise, people management skills, and the ability to drive execution on open-ended machine learning challenges. The data your team curates will directly impact the major model lines within MSL, making engineering reliability, data quality, and scalability paramount. You will excel by maintaining high velocity across your team while guiding them through a wide variety of challenges—from scaling expert data collection in domains like STEM, finance, legal, and health, to building novel environments for capturing advanced agentic tasks (Search, Deep research, computer use, coding, and UI generation).