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Apple Machine Learning Engineer - Wireless Cellular Systems Analysis Germany, Bavaria, Munich 89001427
Yesterday
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.
- 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.
- 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
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