# ML Infrastructure Engineer at Zipline

- Company: Zipline
- What the company does: Zipline delivers food, groceries, and medicine in minutes with fast, reliable, zero emission delivery. Backed by Sequoia and Techstars.
- Company website: https://flyzipline.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: South San Francisco, California, USA
- Work setup: On-site
- Pay: $160K to $250K base salary per year (USD)
- Posted: 2026-09-09
- Apply by: 2026-10-24
- Apply: https://www.zipline.com/open-roles/7989516003?gh_jid=7989516003
- Page: https://www.1752.vc/careers/jobs/zipline-ml-infrastructure-engineer/

## About the role

As an ML Training & Inference Infrastructure Engineer on the Data Platform team you will be building and scaling the systems powering our data flywheel. This person will work at the intersection of autonomy and the infrastructure, owning systems that make ML development faster, reproducible, observable, and safe.

## What they're looking for

- Build and operate software infrastructure that enables learning algorithms to leverage Zipline’s large-scale (quickly growing!) fleet data
- Design scalable, maintainable data and ML infrastructure for autonomy teams, including dataset creation, validation, training, evaluation, and deployment
- Own and improve data pipelines that feed into the ML development loop
- Identify and mitigate bottlenecks in the ML development cycle, especially around orchestration, performance, and reproducibility to increase the rate at which we can improve and scale the delivery experience

Tags: Flight SW