This role pays less than
75%
of similar roles. Most pay
$200,887–$256,950
— the shaded band above.
At the midpoint, this role pays about
$198k
versus about
$229k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
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.
Machine Learning Engineer, Staff (Model Optimization) joins the Machine Learning Engineering team to develop and implement machine learning techniques, frameworks, and tools for mobile, edge, auto, and IOT products. The role involves extending training or runtime frameworks with new features, architecting advanced machine learning hardware co-designed with software, and developing optimized software such as machine learning kernels and compiler tools. You will prototype novel solutions, conduct experiments to train and evaluate models, and collaborate with cross-functional teams to solve complex problems in inference and training. Key technical requirements include proficiency in frameworks like TensorFlow, Caffe, Pytorch, or Keras; programming languages including Python, R, C, or C++; and experience with statistics, probability, and low-level interactions between operating systems like Linux, Android, and QNX to optimize AI models for specific hardware features.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Computer Vision
Deep Learning
Python
C++
PyTorch
TensorFlow
Keras
Caffe
Linux
Android
QNX
Quantization
Pruning
Distillation
CPU
GPU
DSP
NPU
Containerization