Apple
Seattle, WA | #engineering
The Apple Media Products Engineering team is one of the most exciting examples of Apples long-held passion for combining art and technology.
These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
And they do it on a massive scale, meeting Apples high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
These engineers build secure, end-to-end solutions.
They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.
Thanks to Apples unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision.
That vision always includes a deep commitment to strengthening Apples privacy policy, one of Apples core values.
Although services are a bigger part of Apples business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.The Apple Media Products (iTunes) Search Team is looking for extraordinary engineers to help build next-generation search features for Apple's ground breaking devices and platforms.
You will have a major impact on the way people search & discover Apple Media content on Apple devices worldwide! You will support search on all devices (macOS, iOS, tvOS, watchOS, Siri/HomePod) across media products (App Store, iTunes, Music, Video, Books, Podcasts) globally in languages from Arabic to Russian and everything in between.
You will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second.
You will build search server side features & infrastructure to better support recall, relevance, ranking, real-time indexing, and personalization.
Come join a team with strong expertise in software engineering, information retrieval, language processing, data mining, machine learning, scalable systems, and parallel processing (Hadoop, Scala, Spark)!
How to Apply
Please follow the application procedure at stackoverflow.com for more info.
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