Machine Learning Research Scientist - Edge AI & Wireless Systems

• Design, develop, and optimize machine learning models for wireless, 5
• G, and multimedia applications on Qualcomm chipsets
• Conduct applied research in deep learning, signal processing, and edge AI to improve performance and efficiency
• Prototype and benchmark algorithms on real Qualcomm hardware and large-scale datasets
• Collaborate with cross-functional engineering teams to integrate ML solutions into production software and silicon
• Publish findings, file patents, and stay current on state-of-the-art ML and telecommunications research
• Build robust experimentation pipelines, including data preprocessing, model training, and evaluation

• Machine learning model development
• Deep learning (CNNs, RNNs, transformers)
• Python
• Tensor
• Flow or Py
• Torch
• Signal processing for wireless/5
• GEdge AI optimization and quantization
• C++ programming
• Data preprocessing and pipeline design
• Performance benchmarking and profiling
• Experiment design and statistical evaluation

Qualcomm’s Machine Learning R&D team advances AI for next generation wireless, 5G, and multimedia systems. In this role, you will research, design, and optimize ML models for deployment on Qualcomm chipsets powering smartphones, IoT, and automotive platforms. You’ll build end to end experimentation pipelines, benchmark models on real hardware, and collaborate with cross functional engineering teams to bring innovations into production. The position offers the opportunity to publish, patent, and drive impactful advances in edge AI within a fast paced, highly collaborative, engineering driven culture.