Lead Research Engineer, Data Curation for LLMs

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 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