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Apple

# Machine Learning Engineer - On-Device Control and Optimization

Seattle, United States of America Data & Analytics 

Listed on Apple’s official careers site. Posted August 21, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200676105/machine-learning-engineer-on-device-control-and-optimization)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Machine Learning Engineer - On-Device Control and Optimization

## Job description

The Energy Tech org builds systems for managing the energy flow of Apple devices in service of a great user experience. Within this org, the team develops end-to-end solutions utilizing on-device machine learning and control, creating new techniques from data analysis and prototyping. Our work directly impacts the behavior of Apple devices across the product families.

## At a glance
- Posted by the employer: Aug 21, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 58 days
- Location: Seattle, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200676105/machine-learning-engineer-on-device-control-and-optimization)

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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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