Labelbox is seeking a Forward Deployed Engineering Manager to lead the development of reinforcement learning environments for AI systems. This hands-on leadership role involves managing a team, overseeing technical direction, and ensuring high-quality execution in a fast-paced, innovative environment
Job Summary
This role involves leading a team responsible for building sandboxed, reproducible environments that power model training and human-in-the-loop evaluation.
The company operates like an early-stage startup where you will take on expanded responsibilities quickly with career growth tied directly to your contributions.
You will own the RL environment roadmap while ensuring reliability, observability, and data integrity through strong instrumentation and monitoring.
Matching Summary
Match Score: 85
Labelbox is seeking a Forward Deployed Engineering Manager to lead the development of reinforcement learning environments for AI systems. This hands-on leadership role involves managing a team, overseeing technical direction, and ensuring high-quality execution in a fast-paced, innovative environment.
Skills & Requirements
Must-have
5+ years software engineering experience
2+ years managing engineers
Containerization and sandboxing expertise
Reinforcement learning fundamentals knowledge
Infrastructure and distributed systems background
Nice-to-have
Experience with RL environments like Gym or PettingZoo
Familiarity with cloud infrastructure GCP or AWS
Prior work in AI platforms or research environments
Open-source contributions in RL or agents
High agency and rapid execution mindset
Key Requirements
5+ years of Python software engineering experience
2+ years of engineering management experience
Strong debugging skills across layered containerized environments