Senior AI Research Quantization Engineer
Qualcomm
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How this pay compares to similar roles
This role pays less than 74% of similar roles. Most pay $197,925–$254,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $226k 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
As a Machine Learning Researcher, you will join the Engineering Group to conduct fundamental research aimed at creating innovative machine learning methodologies that achieve beyond state-of-the-art performance. You will be responsible for developing and testing complex algorithms, models, and methods while identifying patentable ideas for new solutions. Your daily work involves researching deep generative models, Bayesian deep learning, equivariant CNNs, reinforcement learning, and graph NNs. Additionally, you will drive systems innovations for model efficiency through auto-ML, quantization, and architecture search, while performing platform research into compute in memory and federated learning. You will also publish findings via conference papers and presentations. The role focuses on solving technical challenges related to mobile, edge, auto, and IOT products by advancing machine learning capabilities across both on-device environments and cloud infrastructures.
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