Wireless Software & AI/ML Engineer Intern - Beijing
Core
Research, design, and prototype AI/ML models to analyze application traffic patterns and optimize cellular protocol stacks for seamless user experiences on Apple devices.
Role type
Intern, Wireless Software & AI/ML Engineer
Builds
Intelligent baseband optimizations and cross-layer optimization strategies for cellular connectivity
Domain
Telecommunications / Wireless Networks / Artificial Intelligence
Deliverable
production ML models
Required skills
Wireless communications fundamentals, Cellular protocol stacks (LTE/5G NR), Machine learning algorithms, Deep learning frameworks, Traffic pattern analysis, QoS/QoE metrics evaluation
Preferred skills
5G NR protocol architecture, Radio resource management, Multimedia streaming protocols, On-device ML deployment, Lightweight model optimization
Technologies
PyTorch, TensorFlow, Scikit-Learn
Responsibilities
Research and design intelligent traffic classification algorithms, Analyze wireless network telemetry to extract traffic characteristics, Design and train lightweight AI/ML models for real-time classification, Prototype cross-layer optimization strategies, Build simulation or on-device evaluation pipelines for QoS/QoE benchmarking, Collaborate with wireless engineering teams to validate designs and present findings