Staff Machine Learning Engineer
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 78% of similar roles. Most pay $208,375–$254,750 — the blue band above. At the midpoint, this role pays about $202k versus about $232k 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.
Most-posted roles
At a glance
The Machine Learning Engineer, Staff (Model Optimization) joins the Machine Learning Engineering group to create and implement techniques, frameworks, and tools for efficient machine learning discovery and utilization. This role involves modeling, architecting, and developing advanced machine learning hardware co-designed with software for inference or training solutions. You will develop optimized software, including machine learning kernels, compiler tools, and model efficiency tools to enable AI models on hardware. Key responsibilities include overseeing experiments to train and evaluate models and prototyping novel solutions for complex products. Required skills include proficiency in frameworks like TensorFlow, Caffe, Keras, and PyTorch, along with programming languages such as Python, C, and C++. You will also utilize statistics, probability, and low-level interactions between operating systems like Linux and Android.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Skills
What you'll do
What we're looking for
More like this
Capital One Financial
Arm Holdings
Intuit
Adobe
Capital One Financial
Coinbase