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Machine Learning Engineer Internship, Siri at Apple (Cupertino, CA)

Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done just by asking. Join the Siri Speech team at Apple.

Siri debuted in the iPhone 4s in 2011, bringing voice assistants to millions of users. Now Siri is available not only in all iPhones, but also iPads, CarPlay, Macs, Apple Watch, HomePods, and AirPods. Siri is now available in over 40 locales around the world, and users are interacting with Siri and dictation over 25 billion times a month.

As part of Apple's Machine Learning and AI team, we transform every Apple product and, because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting the privacy of users and their data.

We are looking for students who want to impact millions of users around the world through advances in machine hearing, speech recognition, natural language processing, speech synthesis, and related fields in machine learning and artificial intelligence. This is an excellent opportunity to create groundbreaking technology to support large scale systems, spoken language, big data, and artificial intelligence.

As a member of the team, you will work on some of the most ambitious technical problems, develop new ML solutions that will impact future Apple products, and collaborate with the best product teams to integrate your ideas into products.

Internship opportunities are available in Cupertino, Boston, and Seattle pending CDC return to office guidelines.

As an intern, you will work with a mentor and broader teams across Apple in order to advance Siris core machine learning capabilities in machine hearing, speech recognition, text-to-speech synthesis, and natural language understanding. You will have opportunities to broadly demonstrate your work, which may also lead to a conference publication.

To be successful in this position, you should have a strong technical foundation, be able to show initiative, learn new technologies quickly, and possess excellent interpersonal and communication skills. Interns are self-motivated, excellent problem solvers, quick to build relationships and work well with change and ambiguity. You have strong programming skills with tried experience crafting, prototyping, and delivering advanced algorithmic solutions.

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