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Apple

# Senior Machine Learning Scientist - Ad Campaign Optimization

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

Listed on Apple’s official careers site. Posted August 12, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200649539/senior-machine-learning-scientist-ad-campaign-optimization)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Senior Machine Learning Scientist - Ad Campaign Optimization

## Job description

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands.

Because when advertising is done right, it benefits everyone. We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance.

You will have an excellent understanding of scalable architectures and thrive working in Agile environments.

## At a glance
- Posted by the employer: Aug 12, 2026
- First seen by OpenNash: Aug 20, 2026
- Last checked: Oct 18, 2026
- Listed for: 67 days
- Location: Cupertino, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200649539/senior-machine-learning-scientist-ad-campaign-optimization)

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