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Meta · 1 day ago

AI Research Scientist, Media Data Research - MSL FAIR

Menlo Park, CA

Full-time

Onsite

Mid, Senior Level

$154K/yr - $217K/yr

1+ years exp

Meta is seeking AI research scientists to help build the data foundation for its advanced Large Language and Media Models. The role involves collaborating with cross-functional teams to develop foundational models, advancing understanding of data research, and executing high priority projects in data curation.

Computer Software

Comp. & Benefits

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 quality in 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

Qualification

LLM/LMM expertiseData curationComputer visionPython programmingPyTorchMultimodal pre-trainingPublished researchSQL familiarityProject management

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

PhD in Computer Science or a related technical field

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

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

Preferred

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