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About the Role
As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up. You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.
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.
Skills
- Node.js
- Python
- React
- TypeScript
- Kubernetes
- Docker
- Reinforcement Learning
Location
- San Francisco, CA
Work Type
- Onsite
- Full-time
Experience Level
- High ownership
- Long hours
Education Level
- Bachelor's degree in computer science or a related technical field, or equivalent practical experience.
Salary/Compensations
- $180K-$220K base
- ~$400K+ OTE (uncapped profit share)
About the Company
- Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs.
- In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors.
- Quality is their core differentiator, and they are rapidly expanding into new domains.