Build product surfaces, backend systems, and internal tools for HUD's RL data engine. Own end-to-end development of APIs, databases, dashboards, and vendor workflows. Strong software fundamentals and cloud infrastructure experience required.
Key Highlights
Develop RL data collection and evaluation tools
Build vendor-facing workflows for environment creation
Design observability dashboards for RL rollouts
Work closely with research and operations teams
Full-time on-site in SF Bay Area or Singapore
Key Responsibilities
Develop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, debugging failures, and understanding model behavior
Create vendor-facing workflows that make it easy for external partners to create, submit, test, and iterate on RL environments and training data
Design dashboards and observability tools that surface environment quality, eval results, data collection progress, grader issues, reward signal problems, and pipeline health
Design backend services and APIs that connect task authoring, data collection, evaluation, QA/QC, and RL training infrastructure
Partner closely with research, operations, and GTM teams to turn vague, high-stakes requests into well-designed systems that ship quickly
Technical Skills Required
Python
JavaScript
Cloud Infrastructure
Benefits & Perks
Competitive compensation
100% covered medical/dental/vision
Lunch and dinner provided
Company-wide holiday break
Equinox membership
401k
Commuter benefits
Unlimited access to AI tokens
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Nice to Have
Experience building data collection, labeling, annotation, eval, or research tooling platforms
Experience building dashboards, review workflows, observability tools, or debugging interfaces for complex systems
Experience building developer tools, infrastructure products, internal platforms, or workflow products that made a team dramatically faster
Experience with AWS, Kubernetes, Terraform, Docker, Grafana, or similar infrastructure tools
Job Description
HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.We’re looking for a Full-Stack Software Engineer, Reinforcement Learning to build the product surfaces, backend systems, and internal tools that power HUD’s RL data engine.
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