RL Environment Software Engineer - AfterQuery

talentpluto • San Francisco, CA

2d • $180,000 - $400,000 • Onsite

About The Position

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.

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.
• Bachelor's degree in computer science or a related technical field, or equivalent practical experience.

Nice To Haves

• Reinforcement-learning experience or an RL research background is a strong plus, though not required.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level