Full-Stack Software Engineer, Reinforcement Learning

HUD · San Francisco | Singapore · In-office · Posted 2d ago

$140k - $250k

Platform for building RL environments and evals

# **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 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 removed]](mailto:[email removed]) or elsewhere if we missed your application!

Apply on HUD's site