RL Environment Software Engineer

Responsibilities: 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 to ensure environments are reliable and scalable.

Requirements: Requires strong machine learning engineering skills with proficiency in Node.js, Python, React, TypeScript, Kubernetes, and Docker. A Bachelor's degree in computer science or equivalent experience is required, with a preference for RL research backgrounds.

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

Keywords: Reinforcement Learning, Applied AI, AI Research, Node.js, Python, React, TypeScript, Kubernetes, Docker, Machine Learning, Backend, Frontend, Infrastructure, Simulation, Agents, Software Engineering, Research Engineering