Machine Learning Research Scientist - Personalization Science, Apple Fitness+
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.
Want more jobs like this?
Get jobs in Cupertino, CA delivered to your inbox every week.
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.","responsibilities":"Develop and apply state-of-the-art machine learning and artificial intelligence techniques to personalize user experiences within Apple Fitness+.
Conduct human evaluation and rigorous experiments to test and improve your models.
Derive insights from experimentation and convert them into feature improvements.
Ship production quality code to deploy your models at a global scale.
Contribute to the scientific literature through publications and participation in leading academic conferences.
Help chart the future growth of personalization across Apple's services ecosystem.
Preferred Qualifications
PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
Knowledge of generative artificial intelligence applied to recommendation systems.
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.
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.