Full-Stack Software Engineer, Reinforcement Learning

HUD • Singapore, CA

1d • Onsite

About The Position

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. You’ll own product surfaces end-to-end, including backend services, APIs, databases, dashboards, tools, vendor workflows, data collection, and observability for RL rollouts. You don’t need to be a researcher, but you need to work research engineers and vendors to translate ambiguous needs into polished products that enable our RL systems.

Requirements

• Strong software engineering fundamentals and real full-stack range, including proficiency in Python and a modern web stack such as React, TypeScript, Next.js, or similar
• Experience owning user-facing or internal products end-to-end
• Good product taste and the ability to build tools that are intuitive for both technical and non-technical users
• Comfort with cloud infrastructure, Docker, CI/CD, observability, and production debugging
• High agency—you identify what needs to exist, build it, and improve it without waiting for a perfect spec
• Strong communication skills for working across research, engineering, operations, vendors, and founders

Nice To Haves

• 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 as tools to ship product, not as the center of the role

Responsibilities

• Develop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, debugging failures, and understanding model behavior
• Build 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, 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

Benefits

• Competitive compensation
• 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
• Lunch and dinner when you’re in the office
• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
• Equinox membership
• 401k
• Commuter benefits (US employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed