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Senior Software Engineer, Reinforcement Learning

HUD· Engineering & Research
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San Francisco, Singapore, Remote (Asia), Remote (North America)$100k - $225kFull-timePosted 2mo ago

About the role

Senior Software Engineer role focused on building product surfaces, backend systems, and internal tools powering HUD’s reinforcement learning data engine. End-to-end ownership of product surfaces including backends, APIs, databases, dashboards, tools, vendor workflows, data collection, and observability for RL rollouts.

Responsibilities

  • 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 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

Qualifications

  • 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 (bonus)
  • Experience building dashboards, review workflows, observability tools, or debugging interfaces for complex systems (bonus)
  • Experience building developer tools, infrastructure products, internal platforms, or workflow products that increased team speed (bonus)
  • Experience with AWS, Kubernetes, Terraform, Docker, Grafana, or similar infrastructure tools as supporting tooling (bonus)

Skills

Required:PythonReactTypeScript/Next.jsCloud infrastructureDockerCommunication

Benefits

  • Competitive compensation
  • 100% covered 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 holidays
  • 401k with a 4% match
  • Equinox membership and commuter benefits (US) / health/wellness stipend (Singapore)
  • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
  • Two top-floor offices in San Francisco and Singapore
  • Annual travel budget to visit either office
Last updated Oct 25, 2026. Interested? Apply on the company site.

About HUD

The platform for building RL environments

The platform for building RL environments. Train specialized agents, evaluate models, and deliver frontier‑grade post‑training data to labs.

AI benchmarkingEnvironment SDKGRPO trainingHUD Vendor PlatformMCP environmentsRL environmentsTraining + Eval Platformagent training
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