Member of Technical Staff - ML Platform Engineer

Highlights

• Own systems taking RL environments from builder repo to lab training runs.
• Build open-source framework for defining RL training environments.
• Automate delivery and validation of environments for frontier labs.

What they offer

• Competitive cash and equity compensation (>90th percentile)
• Ownership and autonomy in a fast moving startup environment
• Health, vision, dental benefits
• 401K match
• Lunch provided everyday onsite
• Weekly snack orders
• Visa sponsorship & relocation support available

Ideal candidate

Senior platform engineer who owns tedious delivery work end-to-end and automates it away. You care about safe execution and building internal tools researchers depend on daily.

Requirements

• 5+ years of experience building and owning ML Platform Engineering, ideally AI related
• Strong software engineering fundamentals with track record building production infrastructure or developer platforms
• Hands-on experience with containers and orchestration and at least one major cloud platform
• Working understanding of running untrusted code safely including isolation and resource limits
• Owned tedious end-to-end work such as migration or delivery pipeline and automated it
• Extensive hands-on use of coding agents with intuition for where models cut corners
• Proficiency in Python including writing libraries and APIs others build on