Machine Learning Engineer - Wireless Cellular Systems Analysis

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.

What You'll Be Doing

• Collaborate with wireless software engineering teams to develop and integrate AI-powered cellular performance analysis tools.
• Design and develop cutting-edge ML models tailored for deep cellular log analysis.
• Work cross-functionally with various teams to drive enhancement proposals from concept to commercialization.
• Impact the iPhone, iPad, and Apple Watch user experiences worldwide.

Perks and Benefits

• Thrive in a collaborative environment and can clearly communicate while expertly driving multiple projects across many teams.
• Obsessively passionate and inquisitive, seeking to solve everyday problems in innovative ways.
• Strong analytical, result-oriented, problem-solving approach with a focus on meaningful details for customers.
• Excellent debugging skills along with good interpersonal, communication, and presentation skills.