RL Environment Software Engineer

Description: Join a fast-growing applied AI research lab focused on building high-quality reinforcement-learning environments and agents. Work at the intersection of research engineering and traditional software engineering to simulate real-world workflows. Requirements: Strong machine-learning engineering skills with a focus on coding and system building, particularly in reinforcement learning. Proficiency in Node.js, Python, React/TypeScript, Kubernetes, and Docker. Experience in a fast-paced startup environment with high ownership. Proven track record of impact in previous roles. Bachelor's degree in computer science or related field, or equivalent experience. Benefits: Competitive compensation of $180K-$220K base, with potential for ~$400K+ OTE through uncapped profit share. Opportunity to grow with a new RL team and contribute to innovative projects in AI.