Machine Learning Engineer, Apple Services Engineering

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.\\n\\nThe 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. \\n\\nOur 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.

We are looking for an exceptional Machine Learning Engineer to help us build and scale personalization systems using the latest advances in machine learning. With your engineering expertise, we want to develop robust, high-performance solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to partner with researchers to see cutting-edge AI models deployed reliably at Apple's truly incredible global scale.

Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related technical field.\n7+ years of relevant work experience. \nStrong software engineering fundamentals and technical competence in production-quality software development.\nReal-world experience with building, scaling, and deploying recommendation systems or large-scale ML models.\nProven grasp of the open-source Python AI/ML tech stack, including PyTorch, scikit-learn, and numpy-scipy-pandas.\nSolid understanding of machine learning algorithms, design patterns, and tools, including deep learning and generative AI.\nProficiency with big data technologies, data processing pipelines, and distributed computing (e.g., Spark, Hadoop, Kafka).\nExperience with ML infrastructure, model optimization, and serving models at scale with low latency.\nStrong written & oral communication skills, with a collaborative mindset.\n

Master's degree in Computer Science, Software Engineering, Mathematics, or a related field; OR equivalent practical industry experience.\nIndustry experience specifically focused on MLOps, recommendation systems, or search ranking infrastructure.