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AI Research Scientist, Media Data Research

United States, Menlo Park 184000.00 - 257000.00 USD / Year · Job Posted January 23, 2026
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Job Description

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

Job Responsibility

  • 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
  • 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
  • PhD in Computer Science or a related technical field
  • 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models
  • Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
  • Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
  • 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
  • First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)
  • 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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