Machine Learning Engineer - Generative AI

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$104,000–$156,000 / yr
Posted
9 days ago
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $130k
$86k most similar roles pay here $277k

This role pays less than 94% of similar roles. Most pay $177,762–$244,000 — the shaded band above. At the midpoint, this role pays about $130k versus about $211k 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 660 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Engineer - Generative AI

As a Senior Software Engineer at Qualcomm Technologies, you will join the AI and Machine Learning team to develop cutting-edge solutions for large-scale deployment in mobile devices. Your day-to-day responsibilities include designing and implementing machine learning models, optimizing algorithms for performance on embedded systems, and collaborating with cross-functional teams to integrate AI capabilities into new products. You should have extensive experience in machine learning engineering, preferably with a focus on deploying ML models on resource-constrained hardware. Proficiency in Python, C++, and knowledge of deep learning frameworks such as TensorFlow or PyTorch is essential. Additionally, understanding of mobile computing environments and the ability to work within complex, high-scale systems will be crucial for this role.

What you'll do

  • Design and develop machine learning models for AI applications.
  • Optimize software algorithms to enhance performance and efficiency.
  • Implement and integrate AI solutions into existing systems.
  • Conduct research on emerging AI technologies and methodologies.
  • Analyze data to improve model accuracy and reliability.

What we're looking for

  • Bachelor's degree in a relevant field with at least 2 years of software or electrical engineering experience.
  • Master's degree in a relevant field with at least 1 year of software or electrical engineering experience.
  • At least 3 years of experience in Machine Learning/AI engineering.
  • Strong background in computer science, electrical engineering, or related disciplines.
  • Proficiency in software development and machine learning technologies.

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