Machine Learning Engineer - Recommendations & Personalization (Feature Engineering)
Apple
This job is no longer accepting applications
See open jobs at Apple.See open jobs similar to "Machine Learning Engineer - Recommendations & Personalization (Feature Engineering)" AnitaB.org.Software Engineering
Seattle, WA, USA
Posted on Jun 7, 2025
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 Books. 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. Come join us to build large-scale personalized recommender systems for Apps & Games, Video, Fitness+, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide. The Commerce & Growth Intelligence team at Apple Services Engineering is at the forefront of delivering cutting-edge innovations that shape the entire lifecycle of a user’s journey—from account creation to marketing, personalized offers, subscription ranking, churn modeling, lifetime value optimization, and beyond. We’re solving problems of unprecedented scale and complexity, leveraging the latest advancements in machine learning and AI, including large language models (LLMs). Our team thrives in a dynamic and collaborative environment, where impactful ideas become transformative products and experiences for millions of customers worldwide.
This job is no longer accepting applications
See open jobs at Apple.See open jobs similar to "Machine Learning Engineer - Recommendations & Personalization (Feature Engineering)" AnitaB.org.