Apple Music - Machine Learning Engineer (Personalized Stations and Mixes)Here at Apple new ideas have a way of becoming great products very quickly, and innovation never stops. Bring passion and dedication to your job and there's no telling what you could accomplish. The Music ML team at Apple Services Engineering is responsible for personalization and recommendations in Apple Music. We are looking for an experienced Software Engineer to help design and run our customer-facing recommender services reliably, efficiently, and with dedication to delivering to our users the music they will love to listen to. Music is our passion, and our aim is to connect artists to music lovers like ourselves. We build amazing experiences for our users while respecting their privacy. Our team is a friendly bunch of people from more than 10 countries. We help each other grow and realize the best work for our users.
The Music ML team at Apple Services Engineering is looking for a great Software Engineer to build and improve the features and services driving Apple Music personalization. Our team is responsible for providing personalized features for Apple Music including some of the most high-traffic surfaces such as Home, Radio, and Personal Mixes. Our work includes building and maintaining ML-backed high-throughput online services, online experimentation and data analysis, as well as building and maintaining large-scale offline big data pipelines. Here you have a phenomenal opportunity to help build and evolve global-scale, leading-edge dynamic data systems as we grow our amazing Cupertino-based team. We are responsible for the full lifecycle: collaboration with the Product team, system design, implementation, continuous optimization and improvement.
What you will be working on: Building products and services for millions of users with a focus on great customer experience and privacyDeveloping complex systems that integrate data from many sources to deliver on-the-fly personalization at low latenciesImproving the quality of our personalized music streaming experiencesWorking with ML researchers to take new user-facing features from conception to productionWorking within our team to develop and deploy massive datasets to improve personalized featuresPrototyping algorithm changes and launching A/B tests to measure changes to personalized productsIf this sounds exciting to you, we'd love to hear from you!
Minimum Qualifications: BS or MS degree in a quantitative field, such as Computer Science, Applied Mathematics, or StatisticsProven track record of collaborating with ML researchers to develop and improve highly scaled, ML-backed productsDemonstrated understanding of the full lifecycle of online ML-based solutions and related best practicesStrong programming skills in at least one modern object-oriented language such as Java, Python, C++Ability to excel in a multi-functional environment through clear communication and relationship buildingPreferred Qualifications: Experience with recommender systems or personalization and an understanding of the related algorithms and modelsExperience building and maintaining online ML systems with real-time feedback (e.g. online bandit models)Experience with building and maintaining ML and big data pipelinesExperience with Kubernetes and modern deployment patternsApple 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. Learn more about your EEO rights as an applicant.
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