Full-Stack Software Engineer, Reinforcement Learning

hud; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Medical/dental/vision coverage (US)

Lunch and dinner in office

Equinox membership

401k

Job summary

HUD is seeking a Full-Stack Software Engineer to build product surfaces, backend systems, and internal tools powering the RL data engine. You will own end-to-end experiences—from frontend dashboards to backend services enabling frontier labs and external partners to create, evaluate, and iterate on reinforcement learning training data.

You'll collaborate with research engineers and vendors to translate complex needs into polished products, delivering scalable systems and user-friendly interfaces

Qualifications

• Proficiency in Python and a modern web stack (React, TypeScript, Next.js).
• Experience shipping user-facing or internal products end-to-end.
• Ability to design intuitive tools for both technical and non-technical users.
• Comfort with cloud infrastructure and production debugging.
• Strong communication across research, engineering, operations, vendors, and founders.

Responsibilities

• Develop product-facing tools for browsing environments, inspecting trajectories, and reviewing task quality.
• Build vendor-facing workflows for external partners to create and test RL environments and data.
• Create dashboards and observability tools for environment quality, eval results, and data collection progress.
• Design backend services and APIs connecting authoring, data collection, evaluation, QA/QC, and RL training infra.
• Partner with research, operations, and GTM teams to ship well-designed systems quickly.

Skills

Full-stack fundamentals

Python

React/TypeScript/Next.js

End-to-end product ownership

Cloud infrastructure

Docker

CI/CD

Observability

Communication

Data tooling familiarity

Tools

Docker

CI/CD

Observability tools

Job description

About the Role

You'll be a Full-Stack Software Engineer building the product surfaces, backend systems, and internal tools that power HUD's RL data engine. You'll own end-to-end product experiences—from frontend dashboards to backend services that enable frontier labs and external partners to create, evaluate, and iterate on reinforcement learning training data. You don't need to be an ML researcher, but you'll work closely with research engineers and vendors to translate complex, ambiguous needs into polished, intuitive products.

What You'll Do

• Develop product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, 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, and pipeline health.


• Design backend services and APIs connecting task authoring, data collection, evaluation, QA/QC, and RL training infrastructure.


• Partner with research, operations, and GTM teams to ship well-designed systems quickly without waiting for perfect specs.

What We're Looking For

• Strong full-stack software engineering fundamentals with proficiency in Python and a modern web stack (React, TypeScript, Next.js, or similar).


• Experience owning user-facing or internal products end-to-end.


• Good product taste and ability to build intuitive tools 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 independently.


• Strong communication skills across research, engineering, operations, vendors, and founders.


• Experience with data collection, labeling, eval, or research tooling platforms is a plus.


• Background building dashboards, review workflows, observability tools, or debugging interfaces for complex systems is valuable.

Compensation & Benefits

• Competitive compensation


• 100% covered medical/dental/vision (US employees)


• Lunch and dinner in office


• Company-wide holiday break (Christmas Eve-New Year's Day) plus PTO


• Equinox membership


• 401k


• Commuter benefits (US employees)


• Unlimited access to ChatGPT, Claude, and Cursor tokens

Location

Offices in San Francisco or Singapore with openness to remote candidates who can maintain 70-80% time zone overlap with either location. Visa sponsorship and relocation support provided for strong full-time candidates to the US or Singapore.