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Apple

# Video Machine Learning Engineer, Audio & Media Technologies

San Diego, United States of America Data & Analytics 

Listed on Apple’s official careers site. Posted April 20, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200653646/video-machine-learning-engineer-audio-media-technologies)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Video Machine Learning Engineer, Audio & Media Technologies

## Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do.

When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. We are looking for a talent who will join us to craft the future of video coding and processing. Our team develops cutting edge machine learning technologies and systems that enable intelligent and interactive video experience in Apple’s products, such as FaceTime, Camera, AirPlay, CarPlay, Screen Share, Immersive Reality, etc.

You will work closely with a group of highly motivated specialists to develop exciting machine learning technologies that will make a huge impact to customers.

## At a glance
- Posted by the employer: Apr 20, 2026
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 18, 2026
- Listed for: 181 days
- Location: San Diego, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200653646/video-machine-learning-engineer-audio-media-technologies)

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

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