# Full-Stack Software Engineer, Reinforcement Learning at HUD

- Company: HUD
- What the company does: Backed by Y Combinator.
- Company website: https://www.hud.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-08-21
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/hud/68f5236e-a80f-4d5c-aefc-cc7ceb44f686
- Page: https://www.1752.vc/careers/jobs/hud-full-stack-software-engineer-reinforcement-learning/

## 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.

## What they're looking for

- 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

Tags: Engineering & Research