Full-Stack RL Engineer — Build Data Engines & Dashboards

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

100% covered medical, dental, vision (

Lunch and dinner when in office

Company-wide holiday break

Equinox membership, 401k, commuter ben

Job summary

HUD is seeking a Full-Stack Software Engineer, Reinforcement Learning to build product surfaces, backend systems, and internal tools powering HUD’s RL data engine. You’ll own surfaces end-to-end, including backend services, APIs, databases, dashboards, and vendor workflows for RL environments and data collection.

You’ll collaborate with research, operations, and GTM teams to translate ambiguous needs into polished products that ship quickly, even if you’re not a researcher.

Qualifications

• Strong full-stack background with Python and a modern web stack.
• Experience shipping user-facing or internal products end-to-end.
• Ability to translate ambiguous needs into polished software.

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.

Skills

Python

React/TS

End-to-end ownership

Cloud infrastructure

CI/CD

Observability

Communication

Docker

Team collaboration

Tools

AWS

Kubernetes

Terraform

Docker

Grafana

Job description

HUD is seeking a Full-Stack Software Engineer, Reinforcement Learning to build product surfaces, backend systems, and internal tools powering HUD’s RL data engine. You’ll own surfaces end-to-end, including backend services, APIs, databases, dashboards, and vendor workflows for RL environments and data collection.

You’ll collaborate with research, operations, and GTM teams to translate ambiguous needs into polished products that ship quickly, even if you’re not a researcher.