RL Environment Software Engineer

Job Description

Design and build high-quality RL environments that simulate real-world workflows and develop efficient agents to automate them. Own the backend and infrastructure layers while setting engineering standards for a growing zero-to-one team.

Requirements: Requires a strong machine-learning engineer proficient in Node.js, Python, React, TypeScript, Kubernetes, and Docker. A Bachelor's degree in computer science or equivalent experience is required, with RL experience being a strong plus.

Key Skills: Reinforcement Learning, Node.js, Python, React, TypeScript, Kubernetes, Docker, Machine Learning, Software Engineering, Backend Development, Frontend Development, System Design, Infrastructure, AI Research

Benefits: Profit Share