About the job
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.
Responsibilities
Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences.
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 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.
Qualifications
Minimum
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.
Preferred
PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.