Machine Learning Engineer

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$122,800–$184,200 / yr
Posted
40 days ago
Freshness
Confirmed live today
Closes
Mar 16, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $222k
This role $154k
$104k $296k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $195,150–$249,000 — the blue band above. At the midpoint, this role pays about $154k versus about $222k 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 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Engineer

As a Machine Learning Engineer - College Graduate within the Machine Learning Engineering group, you will join a multi-disciplinary team of researchers and software engineers. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. This role focuses on advancing Generative AI technology for the edge, specifically addressing model fine-tuning, hardware acceleration, model quantization, and edge inference. You will utilize Python, object-oriented software design, and deep learning frameworks like PyTorch. The position requires strong analytical, debugging, and problem-solving skills to enable on-device AI. Preferred technical competencies include knowledge of Generative AI, neural network model optimization, NPUs, ML accelerators, Android programming, C/C++, and embedded software, as well as the optimization of algebraic operations for hardware cores.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

What you'll do

  • Architect, design, and develop on-device prototype software for cutting-edge AI use cases.
  • Test and deploy AI software solutions for mobile and edge computing devices.
  • Implement deep learning and machine learning models using frameworks like PyTorch.
  • Perform model fine-tuning, quantization, and optimization for hardware acceleration.
  • Develop high-quality software using Python and object-oriented design principles.
  • Optimize algebraic operations in algorithms for hardware cores.
  • Debug and solve complex technical problems within a multi-disciplinary research environment.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • Strong Python and object-oriented software design and implementation skills.
  • Knowledge of deep learning and ML frameworks such as PyTorch.
  • Strong software design skills with a focus on usability.
  • Strong analytical, debugging, and problem-solving skills.
  • Knowledge of Generative AI (GenAI) technologies (preferred).
  • Knowledge of neural network model optimization, on-target deployment, NPUs, ML accelerators, or Android programming (preferred).
  • Knowledge of C/C++, embedded software, and optimization of algebraic operations for HW cores (preferred).

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