Member of Technical Staff - ML Platform Engineer
Core
Build and maintain the ML platform that packages, runs, and delivers RL environments to partner labs' training stacks.
Role type
Senior ML Platform Engineer (Infrastructure & Developer Tools)
Builds
Containerized RL environments, open-source framework (Karotte), and internal developer tooling for environment builders.
Domain
AI Safety / Reinforcement Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, container orchestration (Docker, Kubernetes), cloud platforms (GCP, AWS), untrusted code execution isolation, CI/CD pipeline automation, API design, coding agents (Claude Code, Cursor)
Preferred skills
RL environment building, eval harnesses, agent benchmarks, RL post-training stacks (verl, Ray, SkyPilot, vLLM, SGLang), sandbox infrastructure (Firecracker, gVisor), open-source framework maintenance
Technologies
Karotte, Docker, Kubernetes, GCP, AWS, Python, CLI, data catalog
Responsibilities
Automate environment delivery pipelines to partner labs, maintain the open-source Karotte framework, scale infrastructure for CPU/GPU/TPU environment runs, build internal tools for environment builders, partner with researchers to implement platform features
Seniority
Senior, hands-on IC