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Summary:

Meta is seeking AI research engineers to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for engineers 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:

Research Engineer, Text Data Research - MSL FAIR Responsibilities:

1. Collaborate with cross-functional teams to develop Meta’s next foundational models

2. Architect efficient and scalable data curation systems and pipelines

3. Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling

4. Execute on high priority projects in pre-training, mid-training, or post-training data curation

5. Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization

6. Lead complex technical projects end-to-end

Minimum Qualifications:

Minimum Qualifications:

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

8. 2+ years of industry research experience in LLM/NLP or related AI/ML models

9. Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams

10. 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

11. Demonstrated data infrastructure and software background, and experience building data tooling and services

12. 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:

13. Experience working on frontier-quality/state-of-the-art Large Language Models

14. Masters degree or PhD in Computer Science or a related technical field

15. Hands-on experience with modeling frameworks like PyTorch

16. Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive

Public Compensation:

$85.10/hour to $251,000/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 [email protected].