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Full-Stack Software Engineer, Reinforcement Learning

San Francisco🌐 Remote💼 Full-time🗓 2026-09-26 → 2026-09-29

Core

Full-stack engineer building product surfaces, backend systems, and internal tools for an AI-focused reinforcement learning data engine serving frontier AI labs and external partners.

Role type

Senior IC full-stack software engineer (RL data platform)

Builds

Product-facing tools for browsing environments, vendor-facing workflows for RL data creation/iteration, dashboards for observability, and backend services connecting task authoring to RL training infrastructure.

Domain

Artificial Intelligence / Reinforcement Learning / Data Engineering

Required skills

Python, React/TypeScript/Next.js, end-to-end product ownership, data inspection/review workflows, backend services/APIs, cloud infrastructure, Docker, CI/CD, observability dashboards

Preferred skills

AWS, Kubernetes, Terraform, Grafana, data collection/labeling/annotation platforms

Technologies

Python, React, TypeScript, Next.js, Docker, AWS, Kubernetes, Terraform, Grafana

Responsibilities

Build product-facing tools for browsing environments and inspecting trajectories; Develop vendor-facing workflows for partners to create and iterate on RL environments; Create dashboards surfacing environment quality and pipeline health; Design backend services and APIs connecting task authoring to RL training infrastructure; Partner with research and operations teams to ship systems quickly

Seniority

Senior, hands-on IC

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