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Sergey Edunov

CTO, Genesis Molecular AI

  • CTO, Genesis Molecular AI12

Sergey Edunov is CTO of Genesis Molecular AI. The company's team page says Edunov most recently served as Senior Director of AI Research in Meta's generative AI organization, where Edunov led development of the Llama large language models, including Llama 2 and Llama 3, and before that was a research leader on Meta's Fundamental AI Research (FAIR) team overseeing large-scale machine translation work. Edunov is a co-author of the Llama 2 paper and of the 2019 paper on fairseq, an open-source sequence modeling toolkit from Facebook AI Research. Earlier, Edunov worked on distributed graph infrastructure for Apache Giraph.12345

At a glance

Current role
CTO
Sector
Company
Work listed
2
Sources cited
13
Profile reviewed

Career

Edunov's AI at Meta profile describes earlier work on distributed graph analytics as part of the Apache Giraph team, followed by work on natural language processing and speech as a Research Engineering Manager at Facebook AI Research. Genesis Molecular AI's team page adds that Edunov was a research leader on Meta's FAIR team overseeing large-scale machine translation, and later Senior Director of AI Research in Meta's generative AI organization, leading development of the Llama 2 and Llama 3 models.51

Edunov is now Chief Technology Officer of Genesis Molecular AI, which combines AI and biotechnology expertise.1

Research and open-source work

Edunov's machine translation research at FAIR includes "Classical Structured Prediction Losses for Sequence to Sequence Learning" (2017) and "Understanding Back-Translation at Scale" (2018), both as first author, and "Scaling Neural Machine Translation" (2018) on faster training of translation models. Edunov co-authored FAIR's WMT19 news translation submission and the 2020 paper on many-to-many multilingual translation beyond English-centric data.678910

Edunov is a co-author of the 2019 paper describing fairseq, FAIR's MIT-licensed sequence modeling toolkit. On large language models, Edunov co-authored the Llama 2 paper and the 2023 study on effective long-context scaling of foundation models, and is listed among the authors of "The Llama 3 Herd of Models" (2024).41131213

Work and contributions

  • Llama 2 and Llama 3 Open weights

    Genesis's team page says Edunov led development of the Llama large language models at Meta, including Llama 2 and Llama 3; Edunov is listed as an author of the Llama 2 paper and of The Llama 3 Herd of Models.1313

  • fairseq Open-source code

    Co-first author, with Myle Ott, of the 2019 fairseq paper from Facebook AI Research; the repository is released under the MIT license.411

Timeline

  1. Posted "Classical Structured Prediction Losses for Sequence to Sequence Learning" as first author.6
  2. Co-authored "Scaling Neural Machine Translation".8
  3. Posted "Understanding Back-Translation at Scale" as first author.7
  4. Co-authored the paper describing the fairseq sequence modeling toolkit.4
  5. Co-authored Facebook FAIR's WMT19 news translation task submission.9
  6. Co-authored "Beyond English-Centric Multilingual Machine Translation".10
  7. Co-authored the Llama 2 paper on open foundation and fine-tuned chat models.3
  8. Co-authored "Effective Long-Context Scaling of Foundation Models".12
  9. Listed among the authors of "The Llama 3 Herd of Models".13

Other documented roles

Roles the sources document that are not confirmed as current.

  • Senior Director of AI Research, generative AI organization; earlier a research leader on the FAIR team, Meta15

Where they work

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References

13 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Sergey Edunov — Genesis Molecular AI team pageGenesis Molecular AI · Official page · accessed Oct 21, 2026
  2. edunov (Sergey Edunov) on GitHubGitHub · Official page · accessed Oct 21, 2026
  3. Llama 2: Open Foundation and Fine-Tuned Chat Models (arXiv 2307.09288)arXiv · Paper · published Jul 18, 2023 · accessed Oct 21, 2026
  4. fairseq: A Fast, Extensible Toolkit for Sequence Modeling (arXiv 1904.01038)arXiv · Paper · published Apr 1, 2019 · accessed Oct 21, 2026
  5. Sergey Edunov — AI at Meta people pageMeta · Official page · accessed Oct 21, 2026
  6. Classical Structured Prediction Losses for Sequence to Sequence Learning (arXiv 1711.04956)arXiv · Paper · published Nov 14, 2017 · accessed Oct 21, 2026
  7. Understanding Back-Translation at Scale (arXiv 1808.09381)arXiv · Paper · published Aug 28, 2018 · accessed Oct 21, 2026
  8. Scaling Neural Machine Translation (arXiv 1806.00187)arXiv · Paper · published Jun 1, 2018 · accessed Oct 21, 2026
  9. Facebook FAIR's WMT19 News Translation Task Submission (arXiv 1907.06616)arXiv · Paper · published Jul 15, 2019 · accessed Oct 21, 2026
  10. Beyond English-Centric Multilingual Machine Translation (arXiv 2010.11125)arXiv · Paper · published Oct 21, 2020 · accessed Oct 21, 2026
  11. facebookresearch/fairseq LICENSE (MIT)facebookresearch (GitHub repository) · License · accessed Oct 21, 2026
  12. Effective Long-Context Scaling of Foundation Models (arXiv 2309.16039)arXiv · Paper · published Sep 27, 2023 · accessed Oct 21, 2026
  13. The Llama 3 Herd of Models (arXiv 2407.21783)arXiv · Paper · published Jul 31, 2024 · accessed Oct 21, 2026