Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs

Meta; Menlo Park (CA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta is seeking Research Engineers to build the data foundation for Meta's most advanced Large Language and Media Models. This role focuses on data at scale across pre‑training, mid‑training, and post‑training for web, code, image, video, and multilingual data, contributing to data curation across all stages of LLM development.

Based in Meta Superintelligence Labs, you will collaborate with researchers and engineers to design scalable data pipelines, tackle data‑velocity challenges, and lead

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• 4+ years of industry research experience with data curation for large language or large media models.
• 4+ years of formal technical lead experience.
• Experience leading major technical initiatives with cross‑functional impact and influencing strategy across multiple teams.
• Publications in ACL/NeurIPS/ICML/ICLR/AAAI/KDD/CVPR/ICCV or demonstrated industry influence in AI.

Responsibilities

• Collaborate with cross‑functional teams to develop Meta’s next foundational models.
• Architect efficient and scalable data curation systems and pipelines.
• Fundamentally improve data velocity across workflows and projects by advancing data tooling.
• Execute high‑priority projects in pre‑training, mid‑training, or post‑training data curation.
• Apply specialized expertise in video/image perception or generation, OCR, multilingual data, or data scaling phenomena.
• Lead complex technical projects end‑to‑end.

Skills

4+ years industry research

4+ years technical lead

Cross-functional collaboration

Publications in top conferences

Education

Bachelor's degree in CS/CE or related field

Master’s or PhD in CS or related field

Tools

SQL

Spark

Hive

Python

PyTorch

Ray

DataFlow

Job description

Meta is seeking Research Engineers to help us build the data foundation for Meta's most advanced Large Language and Media Models. We are looking for researchers with LLM expertise to work with data at scale and push beyond the data ceiling. Our team contributes to data curation across all stages of LLM development—pre‑training, mid‑training, and post‑training—and across all domains and modalities such as web, code, image, video, and multilingual data. 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 is possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you will directly contribute to Meta’s frontier models while collaborating with researchers and engineers across MSL.

Research Engineer (Technical Leadership), FAIR Data - Meta Superintelligence Labs Responsibilities

• Collaborate with cross‑functional teams to develop Meta’s next foundational models.
• Architect efficient and scalable data curation systems and pipelines.
• Fundamentally improve our data velocity across workflows and projects by advancing data tooling.
• Execute high‑priority projects in pre‑training, mid‑training, or post‑training data curation.
• Apply specialized expertise in video/image perception or generation, OCR, agentic data, synthetic data, multilingual data, reasoning data, web parsing, 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 related technical field, or equivalent practical experience.
• 4+ years of industry research experience with pre‑/mid‑/post‑training data curation for large language or large media models.
• 4+ years of formal technical lead experience.
• Experience leading major technical initiatives with cross‑functional impact and influencing strategy across multiple teams.
• Published research in leading peer‑reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) or a demonstrated significant industry influence in the field of AI.

Preferred Qualifications

• Hands‑on experience with SQL and large‑scale data handling, familiarity with frameworks like Spark and Hive.
• Programming experience in Python and hands‑on experience with frameworks such as PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow).
• Master’s degree or PhD in Computer Science or a related technical field.
• First‑author publications at top peer‑reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV).
• Experience working on frontier‑quality or state‑of‑the‑art Large Language or Large Media Models.

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 empowered billions around the world. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to build the next evolution in social technology. Building with us at Meta helps shape a future that surpasses what digital connection can currently achieve.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, transgender status, age, status as a protected veteran, status as an individual with a disability, or other 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. 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 assistance or accommodations, please let us know at [e-mail].

$219,000/year to $301,000/year + bonus + equity + benefits.