RL Environment Software Engineer
TalentPluto- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 180,000–220,000/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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
- 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
Requirements
- Strong machine-learning engineers who code heavily and build systems from scratch
- Strong intuition for reinforcement learning
- Proficiency across a modern stack, Node.js and Python on the backend
- React/TypeScript on the frontend
- Strong Kubernetes and Docker skills
- Comfort operating in a fast-paced startup environment with high ownership and long hours
- 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
Preferred
- Reinforcement-learning experience or an RL research background is a strong plus
Skills
- Node.js
- Python
- React
- TypeScript
- Kubernetes
- Docker
- Reinforcement Learning
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