AI Research Scientist, Text Data Research - MSL
Listed on 2026-02-28
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IT/Tech
Data Scientist, Data Engineer, AI Engineer, Machine Learning/ ML Engineer
Overview
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.
Collaborate with cross-functional teams to develop Meta’s next foundational models
Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
Architect efficient and scalable data curation systems and pipelines
Execute on high priority projects in pre-training, mid-training, or post-training data curation
Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
Lead complex technical projects end-to-end
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in Computer Science or a related technical field
2+ years of industry research experience in LLM/NLP or related AI/ML models
Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
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
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
Experience working on frontier-quality/state-of-the-art Large Language Models
Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
Hands-on experience with modeling frameworks like Py Torch
Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive
Public Compensation: $184,000/year to $257,000/year + bonus + equity + benefits
IndustryInternet
Equal OpportunityMeta 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
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