AI Research Scientist, Post-Training - Meta Superintelligence Labs

Meta is seeking Research Scientists to join the Post-Training team within Meta Superintelligence Labs (MSL). High-quality data is the core of AI progress at MSL, fueling the complex capabilities we build, how our models reason, and how they interact with the world. As a Research Scientist, you will provide the technical vision to design, generate, and curate the critical post-training data (SFT, RLHF) that aligns and enhances our frontier AI systems. You will conduct research to develop and optimize post-training recipes that directly improve model quality.

This is a technical research role requiring sound scientific judgment, creativity, and the ability to drive ambitious research agendas with independence. The data strategies you develop will directly influence research direction and major model lines within MSL, making data quality, methodological rigor, and clear communication important. You will collaborate closely with technical leadership to ensure our data pipelines capture the most important capabilities—ranging from expert domains (STEM, GDP-valuable tasks, finance, legal, health) to advanced agentic tasks (search, Deep research, computer use, coding, UI generation, and shopping agents).

We are looking for exceptional research talent—researchers who have shaped the field of machine learning and are ready to do so again at the frontier of AI. If you are passionate about defining how we teach and align AI systems and want to shape the scientific foundations of frontier AI development, we encourage you to apply for this exciting opportunity at the core of MSL.