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Embedded Machine Learning Internship Jobs in Chula Vista, CA

Apple

Embedded ISP Engineer

San Diego, CA · On-site

... and machine learning techniques, all while contributing to the future of photography and ... Build drivers for advanced image processing pipelines in embedded systems, working with the latest ...

Apple

Embedded ISP Engineer

San Diego, CA

$142K - $263K/yr

... and machine learning techniques, all while contributing to the future of photography and ... Build drivers for advanced image processing pipelines in embedded systems, working with the latest ...

Apple Inc.

Embedded ISP Engineer

San Diego, CA · On-site

$142.30 - $263.30/hr

Build drivers for advanced image processing pipelines in embedded systems, working with the latest ... Strong background in image and video signal processing, including ISP and machine learning ...

Seasats

Senior Machine Learning Engineer

San Diego, CA · On-site

$180 - $250/hr

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250 ... embedded hardware, and validating them against real-world maritime conditions. Your work will ...

Seasats

Senior Machine Learning Engineer

San Diego, CA · On-site

$180K - $250K/yr

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250 ... embedded hardware, and validating them against real-world maritime conditions. Your work will ...

Seasats

Senior Machine Learning Engineer

San Diego, CA · On-site

$180K - $250K/yr

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250 ... embedded hardware, and validating them against real-world maritime conditions. Your work will ...

Seasats

Senior Machine Learning Engineer

San Diego, CA · On-site

$180K - $250K/yr

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250 ... embedded hardware, and validating them against real-world maritime conditions. Your work will ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Chula Vista, CA

Embedded Machine Learning Internship information

See Chula Vista, CA salary details

$26.4K

$44.1K

$91.2K

How much do embedded machine learning internship jobs pay per year?

As of Aug 26, 2026, the average yearly pay for embedded machine learning internship in Chula Vista, CA is $44,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,700.00 and $47,700.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

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Embedded Machine Learning Internship jobs near you

Senior Machine Learning Software Engineer

Qualcomm

San Diego, CA • On-site

$140.80 - $211.20/hr

Other

Re-posted 3 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th 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

Qualcomm logo

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

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