Machine Learning Engineer
Adobe
At a glance
AI generatedAs a Machine Learning Engineer at Qualcomm Technologies, you will join a dynamic team to develop and implement cutting-edge machine learning solutions across various technology verticals including mobile, edge computing, automotive, and IoT. Your primary responsibilities include extending training or runtime frameworks with new features and optimizations, collaborating on the co-design of machine learning hardware and software for inference and training solutions, and developing optimized software tools that leverage specific hardware capabilities. You will also work on adapting machine learning algorithms and models to align with product roadmaps, ensuring efficient deployment across diverse platforms. Ideal candidates have a Master's degree in Computer Science or related field, along with experience in frameworks like TensorFlow, PyTorch, and embedded system development. Proficiency in Python, C++, and knowledge of operating systems such as Linux and Android is essential for this role at Qualcomm’s scale, where you will tackle complex business problems through innovative AI solutions.
Skills
What you'll do
What we're looking for
Market check
This $122,800–$184,200 range sits above 15% of similar postings on FindRole.
Peer median band
$160,600–$240,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$167,500–$246,150
Middle half of comparable postings.
Based on 239 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 569 open roles on FindRole.
Listed pay typically runs $148,300–$224,400 across 536 roles with salary data.
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