Senior Machine Learning Engineer- Analytics Engineering at Apple (Seattle, WA)

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 dedication 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.
We are seeking an extraordinary Machine Learning Engineer to join our team, innovate and craft the foundation of ML engineering to make our ML solutions secure, private, performant and scalable.

You will research and develop innovative ML solutions for challenging problems that will impact Apple Media Products. Whether its solving a problem for a specific product, or research and develop tools that can change how we do MLOps generally, you have the opportunity to work on a variety and unique set of problems by leveraging state of the art ML technologies. From unsupervised learning techniques to semi-supervised, supervised and deep learning. You have the opportunity to dive into those spaces and explore how we can make our products better.

Partnership matters You are a strong technology leader, you will collaborate with broader teams across Apple and influence on our design decisions by contributing to design discussions, and are able to both give and receive constructive feedback. You will also have opportunities to provide technical mentorship and guidance to help shape and grow the team.

Quality is important you will be working in a highly collaborative environment that strives to make our products better, participating and influencing on how we do ML engineering here to improve quality of our products. From design discussions, code reviews, writing code that is robust, reusable, testable and maintainable, all the way to make sure our products are performant and scalable.

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