Meta
AI Research Scientist, Media Data Research - MSL FAIR
Menlo Park, CA · Mid
Sponsorship not specifiedDetected 75 days ago
PythonSQLMachine LearningPyTorchSparkNLPComputer VisionLLMsResearch
About the role
- 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).
Responsibilities
- Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language and Media Models.
- 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
- Lead complex technical projects end-to-end
- Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
- Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
Benefits
- 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models
Company info
- 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.
- 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.
This listing is sourced directly from Meta's careers page and normalized into a canonical job model.