Full-Stack Software Engineer, Reinforcement Learning
Core
Build platforms, tools, and interfaces for environment creation, data collection, and training observability to power RL training for Claude.
Role type
Full-Stack Software Engineer (RL Infrastructure)
Builds
Web platforms, vendor-facing interfaces, human data collection systems, evaluation dashboards, and backend APIs for RL training.
Domain
Artificial Intelligence / Reinforcement Learning / Software Engineering
Deliverable
product features
Required skills
Full-stack software engineering, Python, modern web stack (React, TypeScript), system design, UX design, automation, vendor management, observability.
Preferred skills
Data collection/labeling platforms, multi-tenant platforms, cloud infrastructure (GCP/AWS), Docker, CI/CD, LLM training workflows, async Python, dashboards/monitoring, external vendor integrations.
Technologies
Python, React, TypeScript, GCP, AWS, Docker
Responsibilities
Build and extend web platforms for RL environment creation and management; Develop vendor-facing interfaces for training environment iteration; Design platforms for human data collection at scale; Build evaluation dashboards and observability UIs; Create backend services and APIs connecting tools and infrastructure; Build scalable code data generation pipelines; Develop onboarding automation tooling.
Seniority
Mid-to-Senior, hands-on IC
