About the role
ML Engineer at Docker, one of the most loved brands in developer tooling (20M+ monthly users, 20B+ image pulls) and now central to how AI agents build software. Docker is a remote-first, globally distributed team, and this role sits where AI meets developer infrastructure.
As AI agents redefine software development, Docker provides the sandboxed environments, verified images and secure infrastructure that make autonomous coding safe. You would build the ML that powers those AI-driven developer experiences across Docker's products (Desktop, Hub, Scout). It suits an ML engineer who wants their work in the hands of millions of developers.
Highlights
- Build the ML powering AI-driven developer experiences across Desktop, Hub and Scout
- Scale: 20M+ monthly users and 20B+ image pulls
- Remote-first, with offices in Seattle and Paris
- The differentiator is the reach and the moment: ML for agentic software development at the company that defined containers
This recap is dataskew's editorial summary, not the company's copy.