Research Engineer, Post-Training

Meta is seeking Research Engineers to join the Post-Training team within Meta Superintelligence Labs. High-quality data is the engine of AI progress at MSL, determining the capabilities we can unlock and how fast our models improve. As a Research Engineer on this team, you will build the full-stack infrastructure and pipelines to collect, generate, and refine the post-training data for our most advanced AI models. You'll work alongside world-class researchers and engineers to develop scalable systems for both human-in-the-loop data collection and automated synthetic data generation. This is a technical role requiring research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The data pipelines you build will directly impact the major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities. You'll tackle a wide variety of problems, from sourcing high-value expert data (STEM, finance, legal, health) to building custom environments that capture multi-step agentic trajectories (search, coding, computer use agents, shopping agents). If you are passionate about building the data engine that drives AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.