Join the Wireless Technologies and Ecosystems (WTE) organization and be part of a best-in-class team of engineers, working with multi-functional teams to drive innovation and develop products used by millions worldwide. Apple’s Cellular Systems Analysis team within WTE is seeking talented, highly motivated Machine Learning engineer to design and develop AI-driven models that enhance cellular performance analysis and drive improvements in Apple’s wireless product lines. This is an extraordinary opportunity to work with our hardware and wireless software engineering teams to help drive and deliver the most innovative Apple wireless devices and iOS software features to customers on our operators’ networks worldwide. You should join Apple if you want to help deliver the next amazing Apple product.

In this role, you will collaborate with wireless software engineering teams to develop and integrate AI-powered -cellular performance analysis tools, to detect radio link failures, protocol inefficiencies and performance bottlenecks. As a Machine Learning Engineer, you will be responsible to design and develop cutting-edge ML models tailored for deep analysis of cellular logs from various sources like lab, field, QA tests, apply deep learning and reinforcement learning techniques to improve modem-level diagnostics and enhance performance optimization, use pattern AI-driven recognition and anomaly detection to uncover hidden issues impacting wireless connectivity. Along with application of 4G/5G domain knowledge for the development of advance ML models for deep analysis, you will be working cross-functionally with platform architecture, standardization, firmware/protocol development, system test, Field Test, QA and carrier engineering teams to drive the enhancement proposals from concept to commercialisation. As part of this team, you will impact the iPhone, iPad and Apple Watch user experiences worldwide.