ML Infrastructure Engineer

Zipline is seeking an ML Infrastructure Engineer to build and scale systems that power their drone delivery service. You will work on the intersection of autonomy and infrastructure, focusing on making ML development faster, reproducible, observable, and safe. This role involves owning and improving data pipelines, designing scalable ML infrastructure, and mitigating bottlenecks in the ML development cycle.

• Build and operate software infrastructure for learning algorithms using fleet data
• Design scalable data and ML infrastructure for autonomy teams
• Own and improve data pipelines for the ML development loop
• Mitigate bottlenecks in ML development for performance and reproducibility
• 3+ years of software engineering experience, ideally in ML infrastructure
• Experience with Python, AWS, Kubernetes, and Terraform