Note: The job is a remote job and is open to candidates in USA. Talentpluto is recruiting for a fast-growing applied AI research lab that builds reinforcement-learning environments and agents for leading AI labs. The RL Environment Software Engineer will build realistic RL environments and agents, collaborate with researchers to anticipate future needs, and own the backend and infrastructure required for reliable, scalable systems.
Responsibilities
- Design and build high-quality RL environments that simulate real working environments end to end
- Develop agents for the tasks within those environments and iterate until they are efficient and production-ready
- Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs
- Own the backend and infrastructure layers that make environments reliable and scalable
- Help set engineering standards for a zero-to-one team as the RL function grows
Skills
- Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning
- Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills
- Comfort operating in a fast-paced startup environment with high ownership and long hours
- A track record of meaningful tenure and impact at previous companies
- Bachelor's degree in computer science or a related technical field, or equivalent practical experience
- Reinforcement-learning experience or an RL research background is a strong plus, though not required
Benefits
- Uncapped profit share
- Remote work arrangement
- A clear path to grow alongside the RL team as the function scales into industry pods
Company Overview