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Research Engineer, Media Data Research - MSL FAIR

United States, Menlo Park 217000.00 USD / Year · Job Posted February 03, 2026
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Job Description

Meta is seeking AI research engineers to help us build the data foundation for Meta's most advanced Large Language and Media Models. We're looking for engineers with LLM/LMM 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/LMM development (pre-training, mid-training, post-training) and all domains/modalities (image, video, agent, media perception and generation). We are tackling complex 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'll directly contribute to Meta’s frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL.

Job Responsibility

  • 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 contributing to the advancement of data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
  • Lead complex technical projects end-to-end

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 1+ year of industry research experience in LLM/LMM, computer vision, or related AI/ML models
  • Experience owning and/or driving complex technical projects from end-to-end
  • Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
  • Demonstrated data infrastructure and software background, and experience building data tooling and services
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI

Nice to have

  • Experience working on frontier-quality/ state-of-the-art Large Language or Large Media Models
  • Masters degree or PhD in Computer Science or a related technical field
  • Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
  • Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc

What we offer

  • bonus
  • equity
  • benefits

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