Full-Stack Software Engineer, Reinforcement Learning

About the role

This role sits at the intersection of product engineering and AI infrastructure, building the tools and systems that power a reinforcement learning data platform used by frontier AI labs and external partners. You will own end-to-end product experiences, from frontend dashboards to backend services, enabling partners to create, evaluate, and iterate on RL training data. Your work directly shapes how researchers and operators understand model behavior and environment quality.

Key responsibilities

• Build product‑facing tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
• Develop vendor‑facing workflows that let external partners create, submit, test, and iterate on RL environments and training data.
• Create dashboards and observability tools that surface environment quality, evaluation results, data‑collection progress, and pipeline health.
• Design backend services and APIs that connect task authoring, data collection, evaluation, QA/QC, and RL training infrastructure.
• Partner with research, operations, and go‑to‑market teams to ship well‑designed systems quickly without waiting for perfect specs.

Required profile

• 3+ years of full‑stack software engineering experience building and shipping production systems.
• Proficiency in Python and a modern web stack such as React, TypeScript, or Next.js.
• Experience owning user‑facing or internal products end‑to‑end, from design through deployment.
• Hands‑on experience with cloud infrastructure, Docker, CI/CD pipelines, and production debugging.
• Strong communication skills across technical and non‑technical stakeholders.

Required skills

• Python
• React
• TypeScript
• Next.js
• Docker
• CI/CD pipelines
• AWS
• Kubernetes
• Terraform
• Grafana

What we offer

• Competitive compensation with full medical, dental, and vision coverage for US‑based employees.
• 401k, commuter benefits, PTO plus a company‑wide holiday break, gym membership, and access to leading AI development tools.
• Visa sponsorship and relocation support for strong full‑time candidates moving to the US or Singapore.
• Primary office location in San Francisco, CA, with a Singapore office also available; remote candidates welcome with appropriate time‑zone overlap.