Meta is seeking Research Scientists to join the Post-Training team within Meta Superintelligence Labs. This role focuses on designing, generating, and curating critical post-training data to enhance AI systems. The ideal candidate will conduct research to optimize post-training recipes that improve model quality while collaborating closely with technical leadership. This position requires a strong scientific judgment and the ability to drive ambitious research agendas independently.

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
• Ph.D. in Computer Science, Machine Learning, or a related technical field.
• 3+ years of experience in machine learning research, focusing on deep learning, data alignment, NLP, or related areas.
• Demonstrated ability to lead technical research projects from conception to production.
• Effective communication skills and experience collaborating with technical leadership.

• Design 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.
• Drive the scientific vision for eliciting high-quality data in expert domains and complex agentic trajectories.
• Conduct research to develop and optimize post-training recipes that directly improve model quality.
• Partner with cross-functional research teams to identify and prioritize gaps in model capabilities.
• Contribute to research workstreams that shape the long-term direction of data-centric AI at MSL.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.