Role overview
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.
What we're looking for
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 .