Full-Stack Software Engineer, Reinforcement Learning
About the Role
This role sits at the intersection of product engineering and AI infrastructure, building the tools and systems that power a reinforcement learning data platform used by frontier AI labs and external partners. You will own end-to-end product experiences, from frontend dashboards to backend services, enabling partners to create, evaluate, and iterate on RL training data. Your work directly shapes how researchers and operators understand model behavior and environment quality.
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 that surface 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.
