Full-Stack Software Engineer, Reinforcement Learning
Core
Build product surfaces, backend systems, and internal tools that power HUD's RL data engine and marketplace for frontier AI agents.
Role type
Full-Stack Software Engineer (Reinforcement Learning Infrastructure)
Builds
Product-facing tools, vendor workflows, dashboards, backend services, and APIs for RL data collection, evaluation, and observability.
Domain
Artificial Intelligence / Reinforcement Learning Infrastructure
Deliverable
product features
Required skills
Full-stack development, Python, React, TypeScript, Next.js, Cloud infrastructure, Docker, CI/CD, Observability, API design, Database management
Preferred skills
Data collection/labeling platform experience, Dashboard/observability tooling, Infrastructure as Code (Terraform), Kubernetes, AWS
Responsibilities
Develop tools for browsing environments and inspecting trajectories, Build vendor workflows for RL environment creation and testing, Create dashboards for pipeline health and reward signal monitoring, Design backend services connecting task authoring to RL training infrastructure, Partner with research and GTM teams to translate ambiguous needs into shipped systems
Seniority
Mid-Senior, hands-on IC
