This team is more than a group of engineers its a group of music lovers. That passion has made Apple Music the worlds most complete music experience, with over 60 million songs, thousands of playlists, and daily selections from music experts for 115 countries.
The teams data-driven engineers focus relentlessly on the customer experience by running worldwide experiments and analyzing usage and latency, while collaborating with Apples product groups. As a result, someone can use the Shazam app to identify an intriguing song in a café in the morning, add it to their playlist from Apple Watch, listen to it through their AirPods on their commute, and share it with their family on HomePod at dinnertime. And theres more where that came from, because personalization powered by machine learning and music science helps listeners discover more of what they love. Apple Music is a big part of Apples business because its a big part of peoples lives. Areas of work: macOS/iOS Engineering, Full-Stack Engineering, Front-End Engineering, Back-End Engineering, Quality Engineering, Machine Learning Engineering, Data Science, Data Engineering, Site Reliability Engineering, Commerce Engineering, and Engineering Project Management.
Our Data Engineering team is seeking a hardworking, performance-savvy, experienced engineer to build out the big data platform and services, which power many of these customer features existing and new. You will be responsible for designing and implementing features that rely on processing and serving very large datasets with an awareness of scalability. This will include crafting systems to model, ingest, process and compute large-scale, mission-critical data across Apple Music. High-throughput and reliability are essential.
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