About The Position
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! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. 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 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. We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale.
Requirements
- 6+ years of relevant work experience.
- Deep knowledge of machine learning powered personalization algorithms, design patterns and tools.
- In particular, this includes deep learning, reinforcement learning and unsupervised learning methods.
- Knowledge of generative artificial intelligence applied to recommendation systems.
- Practical real-world experience with building scalable recommendation systems.
- Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, pytorch, scikit-learn, numpy-scipy-pandas.
- Technical competence in production-quality software development.
- Familiarity with big data technologies.
- Strong written & oral communication skills.
- Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Nice To Haves
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Responsibilities
- Research, design and develop machine learning models that personalize the App Store for billions of users worldwide.
- Propose, prototype and evaluate algorithm improvements.
- Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
