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Apple

# AI Application Engineer

San Diego Metro Area, United States of America Operations 

Listed on Apple’s official careers site. Posted October 29, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200692523/ai-application-engineer)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / AI Application Engineer

## Job description

Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, come and join us! The Motion Sensing Hardware System team is looking for an individual who will be focused on adopting and building platforms and tools that enhance the engineering design processes behind millions of Apple products, including iPhone, iPad, Apple Watch, AirPods, Vision Pro, and more.

This is a unique opportunity to apply your AI/ML expertise and software development skills while working closely with sensing hardware engineering to bring real impact to the system integration process.

## At a glance
- Posted by the employer: Oct 29, 2026
- First seen by OpenNash: Nov 1, 2026
- Last checked: Nov 1, 2026
- Listed for: 3 days
- Location: San Diego Metro Area, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200692523/ai-application-engineer)

## Hiring at Apple
- Open jobs: 6,319
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All Apple jobs](https://jobs.opennash.com/companies/apple/) · [Weekly hiring report](/reports/hiring/)

## More jobs at Apple

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### [Sensing FEA Engineer](https://jobs.opennash.com/companies/apple/jobs/67445c77af7bce8245c9/)

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### [Sensing HW - Algorithm Systems Engineer](https://jobs.opennash.com/companies/apple/jobs/e7c06533f6fb30ba13a4/)

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OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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