Job Details

Weekly Hours: 40

Role Number: 200641734-0836

Summary

Wonder how Apple's Media Products show relevant search results and recommendations across App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness+? Join us to conduct research and develop machine learning models that personalize Apple Fitness+ for millions of users worldwide! In this role, you will propose, prototype, and evaluate innovative algorithm solutions and improvements. You will partner to build large-scale personalized recommender systems across Apple's media products and 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 team that powers recommendations and personalization in the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, and Apple Fitness+. We achieve this on a massive scale, meeting Apple's high privacy expectations, and delivering a vast array of fitness and wellness content 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 partner to get behind a single unified vision that always includes a deep commitment to strengthening Apple's privacy policy. 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.

Description

We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in artificial intelligence and machine learning. With your expertise, we want to develop novel solutions to power personalized experiences in Apple Fitness+ that enrich our customers' lives by helping them achieve their health and wellness goals. You will have the incredible opportunity to see your solutions deployed at Apple's truly incredible global scale.

Minimum Qualifications

• Deep knowledge of machine learning-powered personalization algorithms, design patterns, and tools. In particular, this includes deep learning, reinforcement learning, and unsupervised learning methods.

• 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, and pandas.

• Technical competence in production-quality software development.

• Familiarity with big data technologies.

• Strong written & oral communication skills.

• MS in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

Preferred Qualifications

• PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.

• Knowledge of generative artificial intelligence applied to recommendation systems.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .