ML Infrastructure Engineer is open at Zipline in South San Francisco, California, USA. The posting gives no salary; similar roles in the United States advertise a median of $194K. Posted on Sep 9, 2026, and still on Zipline’s careers page when we last checked, on Nov 14, 2026.
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. This role is for a strong software engineer who enjoys the full ML development cycle: data ingestion…
The opening lines of the posting. The rest is on Zipline’s careers page.
Hiring at Zipline
Zipline has 343 open roles right now, 3 of them remote. Most are in Engineering, Operations and Manufacturing & Trades. The median advertised salary across its roles with a published range is $162K. See all its roles
Similar Engineering jobs
All Engineering jobs- Senior Full Stack Software Engineer, DataZipline · 🇺🇸South San Francisco, California, USA—SeniorPythonSQLAirflow
- Robotics Data ResearcherClera · 🇪🇸Barcelona—Machine Learning
- Sr. Software Engineer, Machine Learning & Data InfrastructureOKX · 🇺🇸San Jose, California, United States$179K - $268KSeniorGoPythonJava
