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Machine Learning Software Engineer Intern Jobs in Carlsbad, CA

Job Area Engineering Group, Engineering Group > Machine Learning Engineering General Summary As a ... As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge machine learning ...

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

Implement monitoring and analytics pipelines that use machine learning and AI to surface system ... Software Engineering or a related field with applicable coursework * Experience building web ...

Software Engineer Intern

San Diego, CA · On-site

$24.20 - $38.50/hr

Implement monitoring and analytics pipelines that use machine learning and AI to surface system ... Software Engineering or a related field with applicable coursework * Experience building web ...

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

Implement monitoring and analytics pipelines that use machine learning and AI to surface system ... Software Engineering or a related field with applicable coursework * Experience building web ...

The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

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Machine Learning Software Engineer Intern information

See Carlsbad, CA salary details

$13

$26

$40

How much do machine learning software engineer intern jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for machine learning software engineer intern in Carlsbad, CA is $26.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $29.90 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What cities near Carlsbad, CA are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Carlsbad, CA with the most Machine Learning Software Engineer Intern job openings:

Senior Machine Learning Software Engineer

Qualcomm

San Diego, CA • On-site

$140.80 - $211.20/hr

Other

This job post has expired today. Applications are no longer accepted.


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies


Job description

General Summary

This role involves independently planning, designing, implementing, and verifying software—typically in C, C++, or Python—to enable audio, camera, graphics, video, sensors, wireless, and other functionality for operating systems running on ARM processors and other embedded hardware such as DSP or GPU processors within mobile, edge, automotive, and IoT products.

Responsibilities
  • Integrate, test, and optimize performance of embedded software subsystems.
  • Implement new tools to support development, integration, and verification.
  • Develop optimized software, including ML kernels or compiler tools that leverage specific hardware features.
  • Collaborate closely with hardware teams for joint design and development.
  • Optimize machine learning software frameworks (e.g., TensorFlow, PyTorch) to efficiently run algorithms on hardware.
  • Coordinate dependencies with other teams and develop process-improvement tools.
  • Assist in verification of deliverables and contribute at design reviews and project meetings.
Qualifications
  • Master’s Degree (or foreign equivalent) in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong programming skills in C, C++, or Python.
  • Experience with embedded systems and performance optimization.
  • Knowledge of machine learning frameworks and hardware acceleration.
Pay Range

$140,800.00 – $211,200.00 per year

EEO Statement

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985