[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