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Apple

# Senior ML Infrastructure Engineer, Proactive

Cupertino, United States of America Senior individual contributor IT & Infrastructure 

Listed on Apple’s official careers site. Posted October 16, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200653827/senior-ml-infrastructure-engineer-proactive)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Senior ML Infrastructure Engineer, Proactive

## Job description

The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple. This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information.

We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI. Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!

## At a glance
- Posted by the employer: Oct 16, 2026
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 18, 2026
- Listed for: 100 days
- Location: Cupertino, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200653827/senior-ml-infrastructure-engineer-proactive)

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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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