Senior Engineer, Machine Learning Engineering (ML Apps)
Qualcomm
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How this pay compares to similar roles
This role pays less than 95% of similar roles. Most pay $195,150–$249,000 — the blue band above. At the midpoint, this role pays about $154k versus about $222k 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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At a glance
As a Machine Learning Engineer - College Graduate within the Machine Learning Engineering group, you will join a multi-disciplinary team of researchers and software engineers. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. This role focuses on advancing Generative AI technology for the edge, specifically addressing model fine-tuning, hardware acceleration, model quantization, and edge inference. You will utilize Python, object-oriented software design, and deep learning frameworks like PyTorch. The position requires strong analytical, debugging, and problem-solving skills to enable on-device AI. Preferred technical competencies include knowledge of Generative AI, neural network model optimization, NPUs, ML accelerators, Android programming, C/C++, and embedded software, as well as the optimization of algebraic operations for hardware cores.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
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