Machine Learning Researcher, Senior

Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $159,100–$238,700 / yr
Posted: 2 days ago
Closes: Dec 15, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k

This role $199k

$149k most similar roles pay here $257k

This role pays less than 52% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $199k versus about $204k 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 763 open roles on FindRole.

Listed pay typically runs $151,900–$229,800 across 453 roles with salary data.

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At a glance

TL;DR · Machine Learning Researcher, Senior

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As a Principal Machine Learning Researcher at Qualcomm Technologies, you will join the Engineering Group to conduct cutting-edge research in machine learning methodologies and systems innovations. Your daily work involves developing new models and training methods across various technology areas such as deep generative models, Bayesian deep learning, and reinforcement learning. You will drive advancements in model efficiency on devices and in the cloud through auto-ML techniques like model compression and quantization. Additionally, you will explore novel compute paradigms including edge-cloud distributed learning and quantum machine learning to enable new ML capabilities. Preferred qualifications include a PhD and experience publishing at major conferences, with expertise in Python, TensorFlow, PyTorch, and other relevant tools for conducting advanced research in the rapidly evolving field of mobile and IoT technologies.

Skills

Python TensorFlow PyTorch Keras Scikit-learn CUDA C++ Git Jupyter Notebook CI/CD Docker GitHub Slack Google Scholar ArXiv Bash PostgreSQL MongoDB AWS Azure

What you'll do

Conducts fundamental research to create innovative machine learning methodologies.
Drives systems innovations for advancing model efficiency on devices and in the cloud.
Performs platform research to enable new compute paradigms for machine learning.
Publishes research findings in presentations and conference papers.
Develops complex machine learning algorithms aligned with strategic research goals.

What we're looking for

Master's degree in a relevant field and 2+ years of experience in machine learning.
PhD in Computer Engineering, Science, or Electrical Engineering with strong research background.
Experience developing and optimizing machine learning models and systems.
Published at least two papers in machine learning conferences.
Conducted machine learning research for over one year.
Expertise in creating efficient models through auto-ML methods.
Developed and published innovative machine learning algorithms and methods.

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