Note: The job is a remote job and is open to candidates in USA. Talentpluto is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents. They are seeking an RL Environment Software Engineer to design and build environments that simulate real-world workflows and develop efficient agents for those environments.
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
- ~$400K+ OTE (uncapped profit share)
Company Overview