Lead, mentor, and grow a high-impact platform engineering team, setting technical standards and fostering strong engineering culture
Partner closely with ML research, product leaders, and computational chemist teams to ensure the platform meets real user needs
Own the end-to-end platform and infrastructure strategy supporting data, training, and large-scale inference
Design, build, and operate systems for large-scale AI workloads
Stay hands-on when needed, with the ability to review code and provide technical feedback
Navigate full lifecycle of AI infrastructure complexity
Bring clear technical judgment to ambiguous problems

8+ years experience leading teams in fast-moving environments
Experience designing and operating infrastructure for AI training and inference at scale
Strong systems thinking and ability to reason about tradeoffs across performance, cost, reliability, and development velocity
Engineering craftsmanship and coding skills
Comfortable operating across abstraction layers from cloud to ML platforms and developer tooling
Experience navigating organizational complexity and managing conflicts, dependencies, and tradeoffs
Curiosity and willingness to learn about AI for biology or drug discovery is essential.

Head of Platform Engineering

Key skills