Sr. Applied ML Engineer
Job Summary
Job Description
As a Senior Applied ML Engineer at Apple Services Localization Engineering, you will be involved in building exceptional products using cutting-edge techniques and technologies. The role involves leveraging Machine Learning and Machine Translation to expand global product reach and bring services to users worldwide. The team powers services like Apple Music, App Store, Apple TV, Apple Fitness+, Apple Podcasts, and Apple Books, providing entertainment in over 37 languages across more than 175 countries. The engineers develop secure, end-to-end solutions, custom software, tools for providers, server-side systems, and APIs for various Apple services, while prioritizing Apple's privacy policy.
4 skills required
Job Details
Are you passionate about building extraordinary products and embracing state of art techniques and technologies? In Apple Services Localization Engineering, we are leveraging Machine Learning and Machine Translation to expand our global product reach and bring our Services to more users around the world. The Apple Services Engineering team is one of the most exciting examples of Apple's passion for combining art and technology. These are the people who power the Apple Music, App Store, Apple TV, Apple Fitness+, Apple Podcasts, and Apple Books and more. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 37 languages to more than 175 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 Apple's outstanding integration of hardware, software, and services, engineers here partner to get behind a unified vision. That vision always includes a deep dedication to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain nimble, and cross-functional, offering greater exposure to the array of opportunities here.
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