Software Engineer II, Reinforcement Learning Environments
Core
Design, build, and scale Reinforcement Learning Environments (RLE) platforms that simulate end-to-end workflows for frontier AI model training and evaluation.
Role type
Senior IC backend/platform engineer (RL environments)
Builds
Scalable backend services, data generation pipelines, and modular environment domains for AI model training
Domain
AI infrastructure / Reinforcement Learning / Cloud platforms
Deliverable
production ML models
Required skills
TypeScript, React, PostgreSQL, distributed systems, system design, AWS/GCP
Preferred skills
Reinforcement learning infrastructure, simulation systems, internal developer platforms, Docker, Kubernetes, CI/CD
Technologies
TypeScript, React, PostgreSQL, AWS, GCP, Docker, Kubernetes
Responsibilities
Design and implement scalable backend services and data generation pipelines; Build modular environment domains integrating with model training workflows; Improve platform reliability, observability, and performance; Partner with US-based Engineering, Research, and Product teams; Contribute to technical design discussions and architecture decisions
Seniority
Senior, hands-on IC