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Software Engineer, RL Environments

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Software Engineer, RL Environments in USA

  • San Francisco, CA

Responsibilities

  • Build platforms for creating realistic and diverse reinforcement-learning environments at scale.
  • Design end-to-end factories that transform large, heterogeneous raw datasets into training-ready environments.
  • Define and automate consistent quality standards for vendor, tutor, acquired, and synthetic data.
  • Create self-serve APIs and developer tooling for internal teams and external contributors.
  • Partner with research, platform, and external teams to translate model-capability goals into training tasks and environments.
  • Own open-ended engineering problems across research, data, and platform functions.

Requirements

  • Strong software engineering fundamentals.
  • Experience with data platforms, developer tools, distributed systems, or ML infrastructure.
  • Ability to convert ambiguous quality standards into concrete automated checks.
  • Experience building repeatable pipelines from messy, heterogeneous data.
  • Interest in model behavior and the ability to translate capability goals into tasks and experiments.
  • Strong cross-disciplinary collaboration and end-to-end ownership.

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