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• Comment: Shows signs that the draft was assisted by AI. In addition the WP:GOLDENRULE is not met, we need independent sourcing of the subject's life and career, and in significant depth. It would be rare for someone of this profile to meet this notability criteria. ChrysGalley (talk) 10:04, 28 May 2026 (UTC)

• Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Jlaub3 (talk) 23:28, 27 May 2026 (UTC)

Sergey Edunov is a Russian-American computer scientist and artificial intelligence (AI) researcher, and the Chief Technology Officer at Genesis Molecular AI. He is best known for leading the development of Meta's Llama large language models (LLMs), including Llama 2 and Llama 3, and for his foundational research in machine translation and distributed graph computing.^[1]

Edunov began his career in software engineering across several industries before joining Meta (formerly Facebook), where he contributed to distributed infrastructure for graph algorithms via Apache Giraph, supporting the platform's growth and engagement systems.^[2]

He went on to join Meta's Fundamental AI Research (FAIR) team, where he was one of the first engineers working on the fairseq modeling toolkit.^[3] He later led large-scale machine translation research, contributing to work on scaling neural machine translation,^[4][5] and contributed to widely adopted multilingual translation systems, including the project No Language Left Behind.^[6] He later moved into Meta's generative AI organization as Senior Director of AI Research, where he led the development of the Llama LLMs, including Llama 2 and Llama 3.^[7]

In December 2025, Edunov joined Genesis Molecular AI as SVP of Foundation Models, later becoming Chief Technology Officer. In this role, he leads the scaling of the company's GEMS (Genesis Exploration of Molecular Space) platform, applying foundation model research to the challenges of small molecule drug design and discovery.^[1]

Edunov has co-authored more than 20 publications, with research appearing in high-impact venues including Nature and the Journal of Machine Learning Research, and presented at conferences such as Empirical Methods in Natural Language Processing.^{[1][8][9][10]}

Notable works include "Scaling neural machine translation to 200 languages" (Nature, 2024),^[8] "Understanding Back-Translation at Scale" (EMNLP, 2018),^[9] "fairseq: A Fast, Extensible Toolkit for Sequence Modeling" (NAACL, 2019),^[11] and "Llama 2: Open Foundation and Fine-Tuned Chat Models" (arXiv, 2023).^[2][12]