Full-Stack Software Engineer, Reinforcement Learning

Job description

# **About HUD** [HUD](https://www.hud.ai/) 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. ## **About the role** 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. ## **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 ## Experience **You may be a good fit if you have:** - 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 **Strong candidates may also 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 as tools to ship product, not as the center of the role *We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.* ## **Team & company details** - **Team Size**: ~25 people currently, mostly full-time in-person, but some remote. - **Our team:** Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc. - **Company stage:** We have 8 figures in funding and high revenue growth. We’re scaling profitably and quickly to meet very strong demand. ## **Logistics** - **Employment**: Full-time. - **Location**: On-site only, for now. You can join the team in the San Francisco Bay Area or Singapore offices. - **Visa Sponsorship**: We provide support for relocation and visas for strong full-time candidates to the US or Singapore. - **Timeline**: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial. ## What we offer - 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 - Other perks including an Equinox membership, 401k, and commuter benefits (US employees) - Unlimited\* access to tokens for ChatGPT, Claude Code, Cursor, etc. \**By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.* Due to high volume, we may not actively respond to every application, but feel free to contact us at [recruiting@hud.so](mailto:recruiting@hud.so) or elsewhere if we missed your application!