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Apple · Shanghai, China

# Machine Learning Engineer Intern - Shanghai

Shanghai, China Early career Data & Analytics 

Listed on Apple’s official careers site. Posted June 29, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200609538/machine-learning-engineer-intern-shanghai)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Machine Learning Engineer Intern - Shanghai

## Job description

Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Imaging what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Get to know more about Apple Autumn Recruitment Events and Intern Program, welcome to join our upcoming sessions (Online & Offline @Beijing Time Zone)! 💚 Chat with the Recruiting Team (Session 1) Wednesday, September 2 | 18:30 – 19:30 Sign up link: [https://s.apple.com/dN9R6v6Sy5](https://s.apple.com/dN9R6v6Sy5) 💙 Chat with the Recruiting Team (Session 2) Tuesday, September 15 | 9:00 – 10:00 Sign up link: [https://s.apple.com/dG5g8D6FA5](https://s.apple.com/dG5g8D6FA5)

## At a glance
- Posted by the employer: Jun 29, 2026
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 18, 2026
- Listed for: 111 days
- Location: Shanghai, China[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200609538/machine-learning-engineer-intern-shanghai)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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