RL Environment Engineer - Build Environments (Hybrid)

talentpluto; San Francisco (CA); Hybrid; USD 180,000 - 220,000; Full time

Job summary

talentpluto is seeking an RL Environment Software Engineer in San Francisco, CA. You will design and build high-quality reinforcement learning environments and agents, working at the intersection of research and software engineering.

This hybrid position offers a competitive compensation package averaging $400K+ OTE. Ideal candidates should have strong machine-learning engineering skills with proficiency in Node.js, Python, React, and a strong grasp of Kubernetes.

Qualifications

• Strong machine-learning engineers who code heavily and build systems from scratch.
• Proficiency in modern tech stack, including Node.js, Python, React, TypeScript.
• Comfort operating in a fast-paced startup environment.

Responsibilities

• Design and build high-quality RL environments that simulate real working environments.
• Develop agents for tasks within those environments and ensure efficiency.
• Partner with the research team to scope which environments to build.

Skills

Reinforcement Learning

Node.js

Python

React

TypeScript

Kubernetes

Docker

Education

Bachelor's degree in Computer Science or related field

Job description

talentpluto is seeking an RL Environment Software Engineer in San Francisco, CA. You will design and build high-quality reinforcement learning environments and agents, working at the intersection of research and software engineering.

This hybrid position offers a competitive compensation package averaging $400K+ OTE. Ideal candidates should have strong machine-learning engineering skills with proficiency in Node.js, Python, React, and a strong grasp of Kubernetes.