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Software Engineer, RL Environments

Cursor· SpaceXAI / RL Environments
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Hybrid (Remote)full-timePosted 1mo ago

About the role

Software Engineer on the RL Environments team at SpaceXAI, building systems that turn real-world data into high-quality reinforcement learning environments and tasks. Owns shared platforms and quality layers to produce trustworthy data quickly and at scale, enabling end-to-end work across knowledge-work domains.

Responsibilities

  • Building platforms that allows us to build complex, realistic, and diverse RL environments at scale, that support end-to-end tasks across knowledge-work domains.
  • Designing end-to-end factory that turns massive raw data into useful and realistic environments.
  • Defining and applying consistent quality standards across vendor, tutor, acquired, and synthetic data.
  • Creating self-serve APIs and tooling that accelerate task and environment development for internal teams and external contributors.
  • Partnering across research, platform, and external teams to translate model-capability goals into effective training tasks and environments.

Qualifications

  • Strong software engineering fundamentals and experience with data platforms, developer tools, distributed systems, or ML infrastructure.
  • Ability to turn ambiguous quality standards into concrete, automated checks.
  • Experience building repeatable pipelines from messy, heterogeneous data.
  • Interest in model behavior and translating capability goals into tasks and experiments.
  • Collaborative mindset across disciplines and ability to own open-ended problems end to end.

Skills

Required:Software engineering fundamentalsData platformsDistributed systems

Benefits

  • (Not explicitly listed in the provided description)
Last updated Oct 15, 2026. Interested? Apply on the company site.
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