Forward Deployed Engineer, RL Environments

Labelbox
San Francisco, California, United States
Full Time
Hybrid
Mid
USD 140,000 – 200,000
Software Information Technology Telecommunications

Posted 3 days ago

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Excellent 4.7

Job summary

The role involves designing, developing, and operationalizing reinforcement learning environments for AI training, including containerized sandbox environments, integration with open-source RL tools, and ensuring environment robustness and observability. The candidate should have strong software engineering skills, familiarity with RL concepts, and experience with containerization, automation, and tooling.

Responsibilities

You will design, build, and maintain sandboxed reinforcement learning environments to support agentic AI training and evaluation. This role involves developing containerized execution environments and building instrumentation layers to ensure robust, observable data for model agents.

Qualifications

browser automation CI/CD containerization debugging GCP or AWS Linux Open Source Python RL concepts systems programming

Candidates must have at least 2 years of professional software engineering experience with strong fundamentals in Python and a systems-level language. Proficiency in containerization, sandboxing, and a solid understanding of reinforcement learning concepts are essential.

English

Company

Labelbox

Labelbox

linkedin
Software Development
Location
San Francisco, California, United States

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Excellent 4.7
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