AI Research Scientist, Media Data Research - MSL

Position: AI Research Scientist, Media Data Research - MSL FAIR
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. 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.

Minimum Qualifications

* 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 Qualifications

* 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, Data Flow)

* Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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