Software Engineer, RL Environment
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Job Description
RL Environment Software Engineer developing high-quality AI environments and agents for leading AI labs. Collaborating with researchers to innovate and build future-ready solutions.
Responsibilities:
- 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.
Requirements:
- 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.
- Reinforcement-learning experience or an RL research background is a strong plus, though not required.
- Bachelor's degree in computer science or a related technical field, or equivalent practical experience.
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