# Forward Deployed Engineer, RL Environments at Labelbox

- Company: Labelbox
- What the company does: From environments to custom evaluations, we partner with over 90% of leading AI labs in the US and the innovators defining the next frontier of AI. Backed by Kleiner Perkins, a16z and SoftBank VF.
- Company website: https://labelbox.com/
- Type: Startups
- Level: Mid level
- Location: San Francisco Bay Area
- Work setup: On-site
- Posted: 2026-04-07
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/labelbox/jobs/5101187007
- Page: https://www.1752.vc/careers/jobs/labelbox-forward-deployed-engineer-rl-environments/

## About the role

We’re hiring a Forward Deployed Engineer to own the design, development, and operationalization of reinforcement learning environments. You’ll build the sandboxed, reproducible execution environments that AI agents interact with during training and evaluation—things like terminal-based task benchmarks, browser and computer-use environments, and tool-augmented agentic workspaces.

## What they're looking for

- 2+ years of professional software engineering experience, with strong fundamentals in Python and at least one systems-level language (Go, Rust, C++)
- Demonstrated experience with containerization and sandboxing (Docker, Podman, Firecracker, or similar) in production or near-production contexts
- Familiarity with RL concepts: MDPs, reward shaping, episode structure, observation/action spaces. You don’t need to have trained models, but you need to understand what an environment must provide to an RL training loop
- Experience building or maintaining developer tooling, CLI tools, or infrastructure automation
- Comfort working with browser automation frameworks or terminal interaction tooling
- Strong debugging instincts—you can trace failures across process boundaries, container layers, and network calls

Tags: Alignerr Services