Machine Learning Engineer - Wireless Cellular Systems Analysis
AI Summary ✨
Requirements
Proven experience in applying machine learning algorithms (and familiarity with ML libraries like TensorFlow, PyTorch, Scikit-learn, etc.) to understand real-world data, in particular for cellular technologies.
Demonstrated programming skills in Python for ML model development and log processing.
Good understanding of 3GPP standards(4G/5G) and cellular communications systems and technologies.
Nice to Haves
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, AI, or related fields.
Knowledge of cloud-based ML deployment for large-scale modem log analysis.
Solid understanding of 5G and LTE PHY/MAC/Protocol stack, TCP/IP.
Experience in modem log analysis, protocol stack debugging, or Cellular SW development is a great plus.
Thrive in a collaborative environment and can clearly communicate while expertly driving multiple projects across many teams.
Obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways.
Strong analytical, result oriented, problem-solving approach with a laser-focus on the smallest details that are meaningful to our customers.
Excellent debugging skills along with good interpersonal, communication, and presentation skills.
What You'll Be Doing
Collaborate with wireless software engineering teams to develop and integrate AI-powered, cellular performance analysis.
Design and develop cutting-edge ML models tailored for deep analysis of cellular logs from various sources.
Apply deep learning and reinforcement learning techniques to improve modem-level diagnostics and enhance performance optimization.
Work cross-functionally with platform architecture, standardization, firmware/protocol development, system test, Field Test, QA, and carrier engineering teams to drive enhancement proposals from concept to commercialization.
Impact the iPhone, iPad and Apple Watch user experiences worldwide.
Perks and Benefits
Joining the Wireless Technologies and Ecosystems (WTE) organization at Apple.
Being part of a best-in-class team of engineers driving innovation.
Working with multi-functional teams to develop products used by millions worldwide.
Opportunity to work with hardware and wireless software engineering teams to deliver innovative Apple wireless devices and iOS software features.
Contributing to the development of the next amazing Apple product.