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Sam McCandlish

Anthropic co-founder and Chief Architect; co-led the 2020 scaling-laws research at OpenAI

Sam McCandlish co-founded Anthropic and is its Chief Architect; McCandlish focuses on large-scale model training and leads pretraining, research productivity and RL infrastructure. According to Anthropic's leadership page, McCandlish previously built and led a team at OpenAI focused on the science and scaling of machine learning. McCandlish is first author of "An Empirical Model of Large-Batch Training" (2018), written with an OpenAI affiliation, and an equal-contribution author of "Scaling Laws for Neural Language Models" (2020), whose contribution statement says Jared Kaplan and McCandlish led the research.123

Work

Other documented roles

Roles the sources document but that are not confirmed as current.

  • Built and led a team focused on the science and scaling of machine learning, OpenAI123

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
  2. 2.
    An Empirical Model of Large-Batch Training (arXiv 1812.06162) (external site: arxiv.org)

    arXiv · Paper · published Dec 14, 2018 · accessed Oct 13, 2026

  3. 3.
    Scaling Laws for Neural Language Models (arXiv 2001.08361) (external site: arxiv.org)

    arXiv · Paper · published Jan 23, 2020 · accessed Oct 13, 2026

  4. 4.
    Evaluating Large Language Models Trained on Code (arXiv 2107.03374) (external site: arxiv.org)

    arXiv · Paper · published Jul 7, 2021 · accessed Oct 13, 2026

  5. 5.
    openai/human-eval repository (README citation; MIT License) (external site: github.com)

    OpenAI (GitHub repository) · Repository · accessed Oct 13, 2026

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