Machine Learning Engineer, On-Device ML - Apple Ads

Apple is seeking a talented Machine Learning Engineer to join their Advertising Platforms group, focusing on on-device machine learning solutions for the Apple Ads platform. This role combines cutting-edge ML engineering with Apple's commitment to user privacy and high-performance computing.

The position offers an opportunity to work on innovative solutions that power advertising in the App Store and Apple News, while maintaining Apple's high standards for privacy and performance. You'll be responsible for designing and implementing sophisticated machine learning models that run efficiently on iOS devices, ensuring user data never leaves the device while delivering personalized experiences.

As a Machine Learning Engineer, you'll work with Core ML, Metal, and other Apple ML frameworks to develop and optimize models for various iOS devices. Your work will directly impact millions of users while maintaining Apple's commitment to privacy through techniques like Private Federated Learning and Differential Privacy.

The role offers competitive compensation ranging from $143,100 to $264,200, along with comprehensive benefits including medical coverage, stock options, and education reimbursement. You'll be part of a team that's setting new industry standards in privacy-first advertising technology.

The ideal candidate brings 3+ years of ML engineering experience, strong programming skills in Swift, Objective-C, and Python, and expertise in on-device machine learning. You should be passionate about optimization, privacy-preserving AI, and creating efficient solutions for mobile devices.

This position represents a unique opportunity to work at the intersection of machine learning, mobile computing, and privacy-preserving technology at one of the world's most innovative companies. You'll be contributing to products that millions of users interact with daily while helping shape the future of privacy-first advertising technology.