hud Logo

hud

Full-Stack Software Engineer, Reinforcement Learning

Posted One Month Ago
In-Office or Remote
2 Locations
Entry level
In-Office or Remote
2 Locations
Entry level
Build full-stack product surfaces, backend services, APIs, databases, dashboards, internal tools, vendor workflows, and observability for reinforcement learning data and evaluation systems. Develop interfaces for browsing environments, inspecting trajectories, reviewing quality, debugging failures, and understanding model behavior. Partner with research, operations, vendors, and go-to-market teams to translate ambiguous requirements into reliable products. The role also involves production debugging and cloud infrastructure collaboration.
The summary above was generated by AI
About HUD

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.

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 are scaling profitably and quickly to meet very strong demand.

Logistics
  • 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.

  • 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 (in-office employees)

  • 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 [email protected] or elsewhere if we missed your application!

Similar Jobs

An Hour Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Sales • Software
Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.
Top Skills: Aurora PostgresAWSBitcoinClickhouseEthereumGithub ActionsGoHsmKubernetesMpc/TssRustSolanaTemporalTerraformThreshold Signing ProtocolsTypescript
4 Hours Ago
In-Office or Remote
Georgia, USA
Expert/Leader
Expert/Leader
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Define backend architecture strategy, oversee scalable and secure distributed systems, establish engineering standards, lead modernization and technical debt reduction, and drive observability and operational excellence. Manage, mentor, hire, and develop backend architects and senior engineers while coordinating cross-team technical initiatives, evaluating risks and trade-offs, and resolving architectural conflicts.
Top Skills: Api DesignAWSAzureCachingCloud InfrastructureDatabase DesignDistributed SystemsEvent-Driven ArchitectureGCPGoHigh-Concurrency SystemsJavaMessagingMicroservicesNode.jsObservabilityPython
4 Hours Ago
In-Office or Remote
9 Locations
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Automation
Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.
Top Skills: Aws ServerlessFastapiLambdaPostgresPythonReact

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account