RL Environment Software Engineer

Description: Remote position in the United States for an RL Environment Software Engineer. Work at a fast-growing applied AI research lab focused on building high-quality reinforcement-learning environments and agents. 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 meaningful contributions in previous roles. Reinforcement-learning experience or research background is a plus. Bachelor's degree in computer science or related field, or equivalent experience. Benefits: Competitive compensation ranging from $180K to $220K base, with potential for ~$400K+ OTE through uncapped profit share. Opportunity to join a new RL team with exceptional talent and a clear growth path.