Senior Software Engineer, Reinforcement Learning

• We’re looking for a Senior Software Engineer, Reinforcement Learning to build the product surfaces, backend systems, and internal tools that power HUD’s RL data engine.
• 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
• 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
• 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 Size: ~25 people currently, mostly full-time in-person, but some remote.
• Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.
• Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.
• Employment: Full-time.
• Location: We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.
• Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.

None flagged.