Staff Machine Learning Engineer, ML Platform
- Chicago, United States
- Lead/Staff
- Posted
Skills
Required
- multi-region model serving
- fleets
- CI/deployment tooling
Join Braze, a leading customer engagement platform, as a Staff Machine Learning Engineer. In this hands-on role, you will drive transformative initiatives, build and ship high-velocity solutions, own the platform's technical vision, and mentor other engineers. You should have 8+ years of experience in building and operating distributed systems, hands-on experience with ML workloads, and deep knowledge of Kubernetes and cloud infrastructure.
About Braze
Identifying and driving transformative initiatives to change how the team runs ML in production, including replatforming and overhauling infrastructure.
Responsibilities
- Building and shipping complex infrastructure initiatives from design through production, including multi-region model serving fleets and CI/deployment tooling.
- Owning the platform's technical vision and production quality bar, setting direction for how models are trained, deployed, served, and observed.
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