Machine Learning Engineer, College Graduate

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$122,800–$184,200 / yr
Posted
156 days ago
Freshness
Confirmed live yesterday
Closes
Oct 5, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $154k
$106k most similar roles pay here $282k

This role pays less than 91% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $154k versus about $223k 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.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Engineer, College Graduate

Machine Learning Engineer - College Graduate will join the Machine Learning Engineering team within a dynamic research environment. Working alongside a multi-disciplinary team of researchers and software engineers, the successful candidate will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The role focuses on advancing Generative AI Technology for the Edge, specifically addressing model fine tuning, hardware acceleration, model quantization, and edge inference. Candidates must possess strong Python skills, object-oriented software design experience, and knowledge of deep learning frameworks like PyTorch. Preferred qualifications include experience with C/C++, embedded software, Android programming, and neural network model optimization on NPUs or ML accelerators. The position addresses the technical challenge of enabling on-device AI through robust software engineering practices to solve complex problems in mobile computing and intelligent edge technologies.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
  • Implement advanced Generative AI technologies for edge computing devices.
  • Perform model fine-tuning, quantization, and optimization for hardware acceleration.
  • Develop high-quality software using Python and object-oriented programming principles.
  • Optimize neural network models for deployment on NPUs and ML accelerators.
  • Optimize algebraic operations in algorithms specifically for hardware cores.
  • Debug and solve complex 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 skills with object-oriented software design and implementation.
  • Knowledge of deep learning and machine learning frameworks such as PyTorch.
  • Strong software design skills with a focus on usability.
  • Strong analytical, debugging, and problem-solving skills.
  • Knowledge of Generative AI technologies and neural network model optimization for on-target deployment.
  • Knowledge of NPUs, ML accelerators, and Android programming.
  • Knowledge of C/C++, embedded software, and optimizing algebraic operations for hardware cores.

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