Cellular Machine Learning Engineer - Embedded Software

Join Apple's Cellular Software team as a Machine Learning Engineer working on groundbreaking cellular technologies. This role combines cutting-edge AI/ML with core cellular technology development for iPhone, iPad, Watch and other wireless products. You'll be part of an elite team focused on keeping users connected with industry-best experiences.

As a key member of the Cellular SW AIML team, you'll architect and develop AI/ML solutions to enhance cellular software components, from Layer 1 control to protocol stacks. The role involves working with real-world data from consumer devices to create innovative ML models that optimize system performance while managing complexity.

The position requires strong expertise in machine learning, including deep learning, reinforcement learning, and other advanced algorithms. You'll need proficiency in Python and ML frameworks, plus the ability to work effectively with cross-functional teams. Experience with embedded software development and wireless standards is highly valued.

Apple offers a competitive compensation package including base pay between $181,100 and $318,400, plus equity opportunities through stock programs. Benefits include comprehensive healthcare, retirement plans, education reimbursement, and potential bonuses.

The role combines technical depth in ML with practical impact on millions of users worldwide. You'll work at the intersection of AI and cellular technology, helping shape how Apple devices stay connected. This is an opportunity to drive innovation in a fast-paced environment while working on products used by millions globally.

Join us if you're passionate about applying AI/ML to enable groundbreaking cellular technologies and want to be part of a team that's redefining the cellular ecosystem. At Apple, you'll have the chance to make something extraordinary while working with industry-defining technologies.