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AI Research Scientist, Text Data Research - MSL FAIR

Meta

Bellevue, WA

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JOB DETAILS
SKILLS
Apache Spark, Apiary/Beekeeping, Artificial Intelligence (AI), Computer Engineering, Computer Science, Computer Skills, Conferences, Cross-Functional, Machine Tool, Metadata, Modeling Languages, Multilingual, Natural Language Processing (NLP), Publications, SQL (Structured Query Language), Scientific Research, Systems Scalability, Technical Leadership
LOCATION
Bellevue, WA
POSTED
30 days ago
**Summary:** Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling.Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. **Required Skills:** AI Research Scientist, Text Data Research - MSL FAIR Responsibilities: 1. Collaborate with cross-functional teams to develop Meta's next foundational models 2. Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data 3. Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling 4. Architect efficient and scalable data curation systems and pipelines 5. Execute on high priority projects in pre-training, mid-training, or post-training data curation 6. Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization 7. Lead complex technical projects end-to-end **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. PhD in Computer Science or a related technical field 10. 2+ years of industry research experience in LLM/NLP or related AI/ML models 11. Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams 12. Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs 13. Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI **Preferred Qualifications:** Preferred Qualifications: 14. Experience working on frontier-quality/state-of-the-art Large Language Models 15. Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 16. Hands-on experience with modeling frameworks like PyTorch 17. Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive **Public Compensation:** $184,000/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue. **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
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