Podcasting was born on iPod, and this teams work has led the category ever since. Today, podcasts are a worldwide phenomenon, and these engineers continue to evolve the Apple Podcasts app and ecosystem across all our devices. And for podcast creators, networks, and advertisers, the team created Podcast Analytics, which gives insights into completion rates and subscription data for their listeners worldwide.
A strong machine learning focus helps the team improve search and recommendations, so listeners can easily discover podcasts theyll love from well over a half million offered. As podcast fans themselves, these engineers love shaping a medium thats just begun to show its potential to entertain, inform, and inspire. That passion is just one reason why Apple Podcasts remains the worlds most popular podcast app, giving this small team a huge influence on the industry. Join them and make some impact of your own.
The Apple Media Products Analytics QA team is responsible for the Quality and integrity of the data collected and reported on customer experience data. Responsibilities include: writing test descriptions, performing functional and regression tests, writing test case automation while working closely with other teams. We are seeking iOS/Mobile test Engineers to contribute to the product level validation as well as the backend validation on the latest iOS, tvOS, watchOS, iTunes supported platforms
Day to day work involves bug reporting and isolation, test plan documentation, writing test case automation and working closely with other teams (engineering, project management, etc.). This position demands a self-motivated individual with strong technical and communication skills who can contribute in a team environment. Possess exceptional analytical skills in test case design and bug diagnosis. Be dynamic and prepared to test/regress a high volume of changes on a day-to-day basis. Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties. Candidate should possess the ability and/or interest to implement automated tests.
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