AI Research Scientist (Technical Leadership), Data Research - MSL FAIR at Meta

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

301000.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Curation, Large Language Models, Synthetic Data, Data Velocity, Technical Leadership, NLP, Computer Vision, Multimodal Pre-training, Programming, Python, PyTorch, SQL, Data Handling, Research Publication, Cross-functional Collaboration, Data Pipelines

Industry

Software Development

Description

Meta is seeking 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 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 development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, image, video, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's 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. 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 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, agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization Lead complex technical projects end-to-end 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 4+ years of industry research experience in NLP or CV 4+ years as a formal technical lead experience Experience leading major technical initiatives with cross-functional impact and influencing strategy across multiple teams Practical experience with multimodal pre-training or mid-training data curation for large language models, media perception, or media 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, DataFlow) Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive $219,000/year to $301,000/year + bonus + equity + benefits

Responsibilities

The role involves collaborating with cross-functional teams to develop foundational models and architecting scalable data curation systems. Additionally, the candidate will lead complex technical projects and improve data velocity across workflows.