Full-Stack Software Engineer, Reinforcement Learning

hud • Singapore

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AI Summary

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

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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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