Base: $140,000 - $200,000 usd; bonus/equity: not s...
On-site
2+ years professional software engineering experience
Strong python and systems-level language skills
Experience with containerization and sandboxing
Labelbox is seeking a Forward Deployed Engineer to design and operationalize reinforcement learning environments in a high-impact, startup-like atmosphere. The ideal candidate will possess strong software engineering skills, particularly in Python and systems-level languages, with a focus on building robust, containerized environments for AI training
Job Summary
This role involves owning the design and development of reproducible, sandboxed execution environments for AI agents during training and evaluation.
The team operates with high agency and rapid execution, focusing on impact over process in a startup-like environment within a well-funded company.
You will build critical infrastructure that solves bottlenecks in agentic AI training by ensuring environments are robust, observable, and deterministic.
Matching Summary
Match Score: 85
Labelbox is seeking a Forward Deployed Engineer to design and operationalize reinforcement learning environments in a high-impact, startup-like atmosphere. The ideal candidate will possess strong software engineering skills, particularly in Python and systems-level languages, with a focus on building robust, containerized environments for AI training.
Salary
Base: $140,000 - $200,000 USD; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
2+ years professional software engineering experience
Strong Python and systems-level language skills
Experience with containerization and sandboxing
Familiarity with RL concepts like MDPs and reward shaping
Experience building developer tooling or CLI tools
Comfort with browser automation or terminal interaction
Nice-to-have
Direct experience building RL environments like Gymnasium
Experience with agentic AI evaluation frameworks
Familiarity with GCP or AWS infrastructure
Prior work at an AI data company or research lab
Contributions to open-source projects in RL or agents
Key Requirements
2+ years of professional software engineering experience
Proficiency in Python and Go, Rust, or C++
Production experience with Docker, Podman, or Firecracker