Full-Stack Software Engineer, Reinforcement Learning
About the Role
You'll be a full-stack engineer building the product surfaces, backend systems, and internal tools that power an AI-focused reinforcement learning data engine. Sitting at the intersection of engineering, research, and operations, you'll own end-to-end product experiences that help frontier AI labs and external partners create, evaluate, and iterate on RL training data.
What You'll Do
Build product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
Develop vendor-facing workflows that make it easy for external partners to create, submit, test, and iterate on RL environments and training data.
Create dashboards and observability tools surfacing environment quality, eval results, data collection progress, and pipeline health.
Design backend services and APIs connecting task authoring, data collection, evaluation, QA/QC, and RL training infrastructure.
Partner with research, operations, and go-to-market teams to ship well-designed systems quickly without waiting for perfect specs.
What We're Looking For
3+ years of full-stack software engineering expe
