RL Environment Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and develop high-quality reinforcement learning environments that replicate real-world work scenarios from start to finish.

• Build agents for tasks within these environments and refine them until they are efficient and ready for production.

• Collaborate with the research team to determine which environments to construct and the rationale behind them, anticipating future demands instead of merely addressing current ones.

• Manage the backend and infrastructure components that ensure environments are both reliable and scalable.

• Establish engineering standards for a team that is transitioning from zero to one as the reinforcement learning function expands.

⛳️ Requirements

• Exceptional machine learning engineers who are proficient coders and can build systems from the ground up, possessing a strong understanding of reinforcement learning.

• Expertise in a contemporary tech stack, including Node.js and Python for backend development, as well as React/TypeScript for frontend, with solid skills in Kubernetes and Docker.

• Ability to thrive in a dynamic startup atmosphere characterized by high levels of ownership and extended working hours.

• A proven history of significant tenure and contributions at previous organizations.

• Experience in reinforcement learning or a background in RL research is highly desirable, though not mandatory.

• A bachelor's degree in computer science or a related technical discipline, or equivalent practical experience.

🏝️ Benefits

• Opportunity to work on cutting-edge technology in a fast-paced environment.

• Collaborate with a talented and innovative team.

• Flexible working hours and the possibility of remote work.

• Professional development and growth opportunities.