Machine Learning Researcher

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$159,100–$238,700 / yr
Posted
63 days ago
Freshness
Confirmed live yesterday
Closes
Jan 6, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k
This role $199k
$145k most similar roles pay here $292k

This role pays less than 74% of similar roles. Most pay $197,925–$254,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $226k 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.

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View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Researcher

As a Machine Learning Researcher, you will join the Engineering Group to conduct fundamental research aimed at creating innovative machine learning methodologies that achieve beyond state-of-the-art performance. You will be responsible for developing and testing complex algorithms, models, and methods while identifying patentable ideas for new solutions. Your daily work involves researching deep generative models, Bayesian deep learning, equivariant CNNs, reinforcement learning, and graph NNs. Additionally, you will drive systems innovations for model efficiency through auto-ML, quantization, and architecture search, while performing platform research into compute in memory and federated learning. You will also publish findings via conference papers and presentations. The role focuses on solving technical challenges related to mobile, edge, auto, and IOT products by advancing machine learning capabilities across both on-device environments and cloud infrastructures.

What you'll do

  • Conduct fundamental research to create new machine learning models and training methods across various technology areas.
  • Drive systems innovations for model efficiency on devices and in the cloud using auto-ML and compression techniques.
  • Perform platform research to enable new compute paradigms like on-device learning and federated learning.
  • Develop, test, optimize, and document complex machine learning algorithms aligned with corporate research strategies.
  • Identify and develop innovative or patentable ideas for new technical solutions.
  • Publish research findings through professional presentations and conference papers.

What we're looking for

  • A Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field is required.
  • A PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field is an acceptable alternative to the Master's degree.
  • Candidates must have at least 2 years of experience in Hardware, Software, Systems Engineering, or a related field.
  • At least 6 months of academic or work experience developing and optimizing machine learning models, systems, platforms, or methods is required.
  • Preferred candidates should have at least 2 publications at a machine learning conference.
  • Experience of 2+ years working in a large matrixed organization is preferred.
  • At least 1 year of experience interacting with senior leadership is preferred.
  • At least 1 year of experience in machine learning research related to new models, systems innovations, platforms, or methodology is preferred.

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