Cellular Machine Learning Software Engineer

Join Apple's Wireless Technologies and Ecosystems team as a Cellular Machine Learning Software Engineer, where you'll be part of an elite engineering team developing groundbreaking cellular technologies. This role focuses on identifying and developing AI/ML solutions to enhance core cellular technologies for iPhone, iPad, Watch, and other wireless products. You'll work with multi-functional teams to drive innovation and develop products used by millions worldwide.

The position involves working across layers on cellular technologies, implementing AI/ML solutions to solve everyday connectivity problems for Apple users. You'll be responsible for architecting and developing cellular AI/ML methods, working with real-world datasets, and creating innovative ML models that balance system performance and complexity. The role requires expertise in machine learning algorithms, strong programming skills in Python and ML frameworks, and experience with large-scale data processing.

As a key member of the Cellular SW AIML team, you'll impact iPhone user experience worldwide, working on everything from Layer 1 control to cellular protocol stack implementations. The ideal candidate brings 2+ years of industry experience in AI/ML solutions, strong technical skills, and the ability to work effectively in a fast-paced environment. Apple offers competitive compensation, including base pay between $143,100 and $264,200, plus stock options, comprehensive benefits, and the opportunity to work on products that define industries.

This is an excellent opportunity for someone passionate about applying AI/ML to enable groundbreaking cellular technologies and who wants to be part of a team that takes pride in disrupting traditional models of the cellular ecosystem. You'll be working at the intersection of machine learning and cellular technology, helping to ensure Apple users stay connected 24/7 with industry-best user experience.