Likeremote

Subscribe to the latest remote jobs:

  • Likeremote jobs on https://LinkedIn.com/
  • Likeremote jobs on https://telegram.org/
  • Likeremote jobs on Reddit.com

Full-Stack Software Engineer, Reinforcement Learning

HUD
🇸🇬 Singapore | 🇺🇸 United States
On-site
6 days ago
  • AWS
  • Docker
  • Rust
  • PostgreSQL
  • Python
  • React.js
  • AI
  • TypeScript
  • Next.js
  • CI/CD
  • Kubernetes
  • Terraform
  • Grafana
  • ChatGPT
  • Claude Code
  • Cursor
  • Pension
Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

About HUD

Platform for building RL environments and evals

Tech

AWS Docker Rust Postgres Python Next + React

The role

# **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** : ~15 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 [[email removed]](mailto:[email removed]) or elsewhere if we missed your application!

Full-Stack Software Engineer, Reinforcement Learning · HUD

Auto apply with Likeremote