Personalization Research Science Manager - App Store, ...

The Apple Media Products (AMP) Personalization Team is looking for an extraordinary leader to help build next-generation personalization for Apple''s ground breaking devices and platforms. We operate globally in languages around the world. Our engineers have created some tough acts to follow, and they continue to lead us to innovative breakthroughs. Because they''re driven not by what would be easy, but by what would be amazing.We''re a diverse collective of thinkers and doers, continually reimagining what''s possible to help us all find what we love in new ways. The AMP Personalization team powers personalized experiences for the App Store, Apple TV, Books, Podcasts, iTunes and more across iOS, iPadOS, macOS, tvOS and watchOS.Key Qualifications* * Passion. Our customers love what we do at Apple, and we want the same from our engineering leaders* * Demonstrated ability to build great teams and deliver great results* * Strong written and oral communication skills* * 10+ years of relevant industry experience* * 3+ years of management experience* * Deep understanding of Search[recommender systems?] , Machine Learning, and Information Retrieval* * Experience building scaleable data pipelines with Hadoop, Scala, Spark and Kubernetes.* * Solid understanding of A/B experimentation and data-driven product development* * Experience building search solutions with Lucene / Solr / Elasticsearch or related search technologies.DescriptionIn this role, you will lead a team of applied research engineers as a hands-on, 1st level, science manager. You will influence both technical and product direction, and be responsible for bringing the latest research in personalization and discovery to production at scale. You will drive personalization science features including Ranking, Recall, User Understanding and Content Similarity. You will have a major impact on the way people browse & discover Apple Media content on devices worldwide!This is a team with strong expertise in personalization, machine learning, reinforcement learning, software engineering, data mining, scalable systems, and parallel processing (Hadoop, Scala, Spark, Kubernetes). You will use data-driven analysis to evaluate and prioritize personalization features and conduct A/B Tests to ensure improvements are measured objectively. You will ensure successful deployment of features, code, data, and models to production. You will collaborate with researchers, engineers, and operations to ensure that features and models are functioning at or above expected performance levels. You will design & implement solutions for automated unit and integration tests that enable continuous integration and delivery, and you will support personalization on all devices (macOS, iOS, tvOS, watchOS, Siri/HomePod) for the App Store.Develop, recruit, mentor and empower a diverse team of hard-working data scientists focused on uncovering insights from large-scale dataEducation & ExperienceMaster''s degree or foreign equivalent in Computer Science, Information Technology, Software Engineering.Additional Requirements* Apple''s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We''re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company''s success. You''ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.* Apple benefits programs vary by country and are subject to eligibility requirements.* Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Created: 2025-10-04