
Machine Learning Engineer, Apple Services Engineering
About the role
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Design, build, and deploy machine learning pipelines that personalize the App Store for billions of users worldwide! Prototype, scale, and optimize algorithm improvements. Build robust, large-scale personalized recommender systems for Apps, Games, Videos, Podcasts and Fitness. See your work touch the lives of billions of Apple users worldwide.
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Fitness+. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
Required skills
Machine learning
Recommender systems
Pipelines
Python
Distributed systems
About Apple
Seattle
Headquarters