
Job Overview
Location
United States
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • Own and scale the infrastructure that powers production ML and AI across Zip, enabling reliable, observable, and scalable machine learning systems that drive real business impact.
- • Day-to-day responsibilities include building and maintaining batch and streaming feature pipelines, designing feature store patterns, managing MLflow model registry standards, deploying scalable model serving endpoints, implementing CI/CD for ML pipelines, optimizing PySpark and Spark SQL workloads, managing Databricks clusters and access controls, improving observability and alerting, contributing to Lakehouse architecture, and supporting emerging AI use cases including real-time and large-scale ML systems.
- • Zip Co Limited is a digital financial services company operating in the US, Australia, and New Zealand, offering point-of-sale credit and digital payment services to millions of customers through a global network of tens of thousands of merchants, guided by values of Customer First, Own it, Stronger Together, and Change the Game.
- • In this role, you will deepen your expertise in MLOps, distributed data systems, and cloud-native ML platforms while enabling AI innovation across the business, gaining end-to-end ownership of the ML lifecycle and contributing to scalable, production-grade infrastructure that powers Zip’s next-generation AI capabilities.
Skills & Technologies
About Zip co Limited
Zip Co is a digital financial services and fintech company founded in Australia in 2013. It operates primarily in Australia, New Zealand, and the United States. Zip offers point-of-sale credit and digital payment solutions, allowing customers to buy now and pay later, or use flexible credit options. Their offerings include “Zip Pay,” “Zip Money,” and “Zip Plus,” enabling users to make purchases and repay over time. Zip also provides merchants with integrated payment infrastructure to facilitate transactions. The company emphasizes transparency, accessibility, and financial control for consumers and supports growth for retail partners.
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