Machine Learning Engineer
Qualcomm
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How this pay compares to similar roles
This role pays less than 80% of similar roles. Most pay $191,500–$253,812 — the blue band above. At the midpoint, this role pays about $176k versus about $223k for comparable roles.
Based on 240 similar postings.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 575 open roles on FindRole.
Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.
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JOB TITLE: Sr Engineer, Machine Learning Engineering (ML Apps) The Sr Engineer, Machine Learning Engineering (ML Apps) joins the Machine Learning Engineering team to advance Generative AI technology for the edge. In this role, you will work within a multi-disciplinary research environment to architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. Your daily work involves enabling on-device AI through modern software engineering best practices, including low-level system debugging, performance tuning, memory analysis, and native inference driver development. You will utilize expert-level C++, Python, and PyTorch to build solutions. The role requires deep knowledge of embedded software, neural network model optimization, and on-target deployment. You will specifically address technical challenges related to model quantization, hardware acceleration, and inference pipelines for mobile computing platforms and IoT devices.
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