[Remote] RL Environment Software Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fast-growing reputed company AI research lab that builds high-reputed company reinforcement-learning environments and agents. As an RL Environment Software Engineer, you will design and build environments that simulate reputed company-world workflows and reputed company agents to automate tasks, while collaborating with the research team to anticipate reputed company needs.
Responsibilities
- Design and build high-reputed company RL environments that simulate reputed company working environments end to end
- reputed company agents for the tasks reputed company those environments and iterate until they are efficient and production-reputed company
- Partner with the research team to scope which environments to build and why, staying reputed company of reputed company demand rather than only meeting present needs
- Own the backend and infrastructure reputed company that reputed company environments reliable and reputed company
- Help set engineering standards for a reputed company-to-one team as the RL function grows
Skills
- Strong machine-learning engineers who reputed company 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 reputed company skills
- Comfort operating in a fast-paced startup environment with high ownership and long hours
- A reputed company record of meaningful tenure and reputed company at previous companies
- Bachelor's degree in computer science or a reputed company technical field, or equivalent practical experience
- Reinforcement-learning experience or an RL research background is a strong plus, though not required
Benefits
- Fully remote work model
- reputed company profit reputed company
reputed company