Machine Learning Engineer, College Graduate
Qualcomm
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How this pay compares to similar roles
This role pays less than 76% of similar roles. Most pay $179,425–$254,750 — the shaded band above. At the midpoint, this role pays about $176k versus about $217k 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 623 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.
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At a glance
Sr Engineer, Machine Learning Engineering (ML Apps) joins the Machine Learning Engineering team within a dynamic research environment to advance Generative AI Technology for the Edge. This role involves collaborating with a multi-disciplinary team of researchers and software engineers to architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The position focuses on solving challenges in model fine-tuning, hardware acceleration, model quantization, and edge inference. Candidates must possess expert-level proficiency in C++ and Python, along with a strong foundation in software design and optimization. Required skills include experience with PyTorch, low-level system debugging, performance tuning, memory analysis, and embedded software development. Preferred qualifications include Android development using Java, JNI, NDK, and native framework integration, as well as knowledge of NPUs, ML accelerators, and modern Generative AI architectures like LLMs and VLMs.
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