# Description 

• 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.

Software Engineer

Description

Requirements