Research Scientist, Post-Training; Tech Leadership- Superintelligence Labs

Position: Research Scientist, Post-Training (Tech Leadership)- 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 highly 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.Research

Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Responsibilities:

Provide scientific leadership in designing novel methodologies for post-training data collection, curation, and synthetic data generation

Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors

Drive the scientific vision for eliciting high-quality data in expert domains (finance, legal, health, STEM) and complex agentic trajectories (Deep Research, Computer Use, UI generation)
Conduct research to develop and optimize post-training recipes that directly improve model quality

Partner with cross-functional research teams across product and model training to identify and prioritize gaps in model capabilities

Lead research work streams that shape the long-term direction of data-centric AI at MSL, working independently while also contributing to team goals and organizational priorities

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Ph.D. in Computer Science, Machine Learning, or a related technical field5+ years of experience in machine learning research, with a focus on deep learning, data alignment, NLP, or related areas

Demonstrated ability to lead technical research projects from conception to production

Collaborative communication skills and experience collaborating with technical leadership

Preferred Qualifications:

Multiple first-author publications at top-tier peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model alignment, synthetic data generation, RLHF, or deep learning

Recognized expertise in data-centric AI, post-training methodologies, or complex reasoning data Track record of research that has substantially influenced the field of deep learning

Hands-on experience with language model post-training, RLHF, DPO, or related alignment techniques

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes…