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

Meta

Seattle, WA

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JOB DETAILS
SKILLS
Artificial Intelligence (AI), Communication Skills, Cross-Functional, Data Collection, Data Management, Data Quality, Deep Learning, Establish Priorities, Finance, Leadership, Legal, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Publications, Quality Management, Research Skills, Scientific Research, Search Agent, Team Player, Technical Leadership, Technical Research, Technical/Engineering Design, Training/Teaching, User Interface/Experience (UI/UX)
LOCATION
Seattle, WA
POSTED
1 day ago
**Summary:** 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. **Required Skills:** Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Responsibilities: 1. Provide scientific leadership in designing novel methodologies for post-training data collection, curation, and synthetic data generation 2. Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors 3. 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) 4. Conduct research to develop and optimize post-training recipes that directly improve model quality 5. Partner with cross-functional research teams across product and model training to identify and prioritize gaps in model capabilities 6. Lead research workstreams 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:** Minimum Qualifications: 7. 5+ years of experience in machine learning research, with a focus on deep learning, data alignment, NLP, or related areas 8. Demonstrated ability to lead technical research projects from conception to production 9. Collaborative communication skills and experience collaborating with technical leadership **Preferred Qualifications:** Preferred Qualifications: 10. 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 11. Recognized expertise in data-centric AI, post-training methodologies, or complex reasoning data 12. Track record of research that has substantially influenced the field of deep learning 13. Hands-on experience with language model post-training, RLHF, DPO, or related alignment techniques **Public Compensation:** $219,000/year to $301,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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Meta

INDUSTRY
Other/Not Classified

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