AI Research Scientist - Text Data Research MSL FAIR

Overview

Meta is seeking AI research scientists to help build the data foundation for Meta's most advanced Large Language Models. We are looking for researchers with LLM expertise to work with data at scale across pre-training, mid-training, post-training, and across domains/modalities (web, code, agent, multilingual). Our team contributes to data curation across all stages of LLM development and tackles challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you will directly contribute to Meta’s frontier models like Llama, and collaborate with researchers and engineers across MSL.

Responsibilities

• 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

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, a 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, 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

Preferred Qualifications

• 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 PyTorch

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

EEO Statement

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.

Accommodations

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.

Compensation

$184,000/year to $257,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect the base rate and do not include bonus, equity or incentives. Meta offers benefits. Learn more about benefits at Meta.