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Apple

# AIML - Sr Manager, Evaluation - Data Science & Insights

Seattle, United States of America Manager or lead Data & Analytics 

Listed on Apple’s official careers site. Posted August 19, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200678963/aiml-sr-manager-evaluation-data-science-insights)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / AIML - Sr Manager, Evaluation - Data Science & Insights

## 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. Apple's AIML Evaluation team is looking for a seasoned, technical leader to lead a team within our Data Science and Insights organization. The organization leads Evaluation for Apple Intelligence, Siri AI and a large portfolio of other billion+ user facing features in SWE. Successful candidates will have strong experience in traditional human evaluation methodology, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features.

## At a glance
- Posted by the employer: Aug 19, 2026
- First seen by OpenNash: Aug 20, 2026
- Last checked: Oct 18, 2026
- Listed for: 60 days
- Location: Seattle, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200678963/aiml-sr-manager-evaluation-data-science-insights)

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

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