Machine Learning (ML) Data Scientist - ISE Analytics and User Studies, Input Experience
Cupertino, CA, United States • Posted June 06, 2026
Job Type:
Full-time
Location:
Cupertino, CA
Posted:
June 06, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role Description
**Role Number:** 200663930-0836
**Summary**
Apple’s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion.
**Description**
We are looking for an experienced Machine Learning (ML) Data Scientist to help us uncover insights about how Apple customers experience our technologies. This includes but is not limited to:
*Understanding feature usage, s...
**Summary**
Apple’s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion.
**Description**
We are looking for an experienced Machine Learning (ML) Data Scientist to help us uncover insights about how Apple customers experience our technologies. This includes but is not limited to:
*Understanding feature usage, s...
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