Sr. Staff Audio Engineer
Qualcomm
At a glance
AI generatedAs a Principal Machine Learning Researcher at Qualcomm Technologies, you will join a dynamic team focused on advancing the state-of-the-art in mobile and edge computing through cutting-edge machine learning research. Your primary responsibilities include conducting fundamental research to develop new models and training methods across various domains such as deep generative models, Bayesian deep learning, and reinforcement learning. You will drive innovations for model efficiency both on-device and in the cloud, including auto-ML techniques for optimizing models. Additionally, you will explore novel compute paradigms like quantum machine learning and publish your findings in academic conferences. This role requires expertise in Python, TensorFlow, PyTorch, and familiarity with hardware accelerators such as GPUs and TPUs, alongside a strong background in computer science or related fields, ideally with a PhD and relevant publications.
Skills
What you'll do
What we're looking for
Market check
This $159,100–$238,700 range sits above 78% of similar postings on FindRole.
Peer median band
$123,000–$208,550
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$137,500–$192,500
Middle half of comparable postings.
Based on 240 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.
Most-posted roles
More like this
Qualcomm
Salesforce
Qualcomm
Leidos
Motorola Solutions
The Walt Disney Company