Full-Stack Software Engineer, Reinforcement Learning
Core
Building end-to-end product experiences and backend services for a reinforcement learning data platform used by frontier AI labs and external partners.
Role type
Senior Full-Stack Software Engineer (Reinforcement Learning Platform)
Builds
Product-facing tools, vendor workflows, dashboards, observability tools, and backend APIs for RL training data.
Domain
Artificial Intelligence / Reinforcement Learning Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, React, TypeScript, Next.js, backend services, APIs, databases, cloud infrastructure, Docker, CI/CD, production debugging, observability interfaces, data inspection workflows, quality assessment interfaces
Preferred skills
data collection, labeling, annotation, evaluation platforms, AWS, Kubernetes, Terraform, Grafana, vendor-facing workflow products
Responsibilities
Build tools for browsing environments, inspecting trajectories, and reviewing task quality; Develop workflows for external partners to create and iterate on RL environments; Create dashboards for environment quality and pipeline health; Design backend services connecting task authoring, data collection, and RL training infrastructure; Partner with research and operations teams to ship systems quickly
Seniority
Senior, hands-on IC