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 infrastructure to ensure scalability and establish engineering standards for the growing RL team.

Requirements: Requires a strong background in machine learning and system building with proficiency 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, System Design, Backend Development, Frontend Development

Benefits: Profit Share