Senior Software Engineer, Reinforcement Learning

The role

You will build product surfaces, backend systems, and internal tools to power the RL data engine. This includes owning backend services, APIs, databases, dashboards, and vendor workflows.

What you will do

• Develop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, debugging failures, and understanding model behavior
• Build vendor-facing workflows for external partners to create, submit, test, and iterate on RL environments and training data
• Create dashboards and observability tools for 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 with research, operations, and GTM teams to turn requests into systems

Required qualifications

• Strong software engineering fundamentals and real full-stack range
• 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
• Strong communication skills

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
• Experience with AWS, Kubernetes, Terraform, Docker, Grafana, or similar infrastructure tools

Benefits

• Competitive compensation
• 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
• Lunch and dinner for in-office employees
• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
• 401k with a 4% match
• Equinox membership and commuter benefits (US employees)
• Health/wellness stipend (Singapore employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
• Annual travel budget to visit either office

Before you apply

• We provide support for relocation and visas for strong full-time candidates to the US or Singapore
• The process is 2 technical interviews and a 2-3 day work trial

About the company

HUD's mission is to build reliable, fair and open infrastructure for AI data. Their marketplace and platform are used by startups, Fortune 500 companies and frontier labs.