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RL Environment Software Engineer

RemoteUnited States only
Published
Role
AI / ML
Employment
Full-time
$180k–$220k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior machine-learning engineer who codes heavily and builds systems from scratch, with strong intuition for reinforcement learning. Needs Node.js/Python on the backend, React/TypeScript on the frontend, plus Kubernetes and Docker. US-remote role in a fast-paced startup with high ownership and long hours; RL experience is a plus, not required.

Core skills

Reinforcement Learning

Required skills

Node.jsPythonReactTypeScriptKubernetesDocker

Optional skills

Reinforcement learning experienceRL research background

What you'll do

  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand.

What they require

  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack: Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.
  • Proficiency across a modern stack: Node.js and Python on the backend, React/TypeScript on the frontend.
  • Strong Kubernetes and Docker skills.

Benefits

  • Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)

Our partner

journal article; published in History in 1976

🇺🇸 United StatesProfessional ServicesStartuptandfonline.com/doi/abs/10.1080/03612759.1976.9945359

What people say about this company

3.4/ 5

$180k–$220k/yr