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Apple

# Senior Machine Learning Research Engineer, AIML

Seattle, United States of America Senior individual contributor Data & Analytics 

Listed on Apple’s official careers site. Posted June 4, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200651112/senior-machine-learning-research-engineer-aiml)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Senior Machine Learning Research Engineer, AIML

## Job description

Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The AIML team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments.

This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers!

## At a glance
- Posted by the employer: Jun 4, 2026
- First seen by OpenNash: Jul 10, 2026
- Last checked: Oct 11, 2026
- Listed for: 129 days
- Location: Seattle, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200651112/senior-machine-learning-research-engineer-aiml)

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### [AIML - Machine Learning Engineer, Visual Intelligence Technology](https://jobs.opennash.com/companies/apple/jobs/bfe8c017ec7068bf3789/)

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### [AIML - Machine Learning Research](https://jobs.opennash.com/companies/apple/jobs/248702e3d8f39da2acb5/)

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### [AIML - Machine Learning Researcher - Multimodal Agent](https://jobs.opennash.com/companies/apple/jobs/f17219d4abb3eda15d54/)

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

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