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Embedded Machine Learning Internship Jobs in Escondido, 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 ...

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

$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 ...

Apple

Camera Embedded Software Engineer

San Diego, CA

$142K - $263K/yr

... machine learning algorithm team. The environment is multifaceted, fast-paced and requires a self ... Design and implement camera features in embedded systems for Apple products. You will work with ...

Apple

Camera Embedded Software Engineer

San Diego, CA

$175K - $308K/yr

... machine learning algorithm team. The environment is multifaceted, fast-paced and requires a self ... Design and implement camera features in embedded systems for Apple products. You will work with ...

Apple

Camera Embedded Software Engineer

San Diego, CA

$175K - $308K/yr

... machine learning algorithm team. The environment is multifaceted, fast-paced and requires a self ... Design and implement camera features in embedded systems for Apple products. You will work with ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Escondido, CA

Embedded Machine Learning Internship information

See Escondido, CA salary details

$26.7K

$44.6K

$92.1K

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

As of Aug 11, 2026, the average yearly pay for embedded machine learning internship in Escondido, CA is $44,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,200.00 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.
What job categories do people searching Embedded Machine Learning Internship jobs in Escondido, CA look for? The top searched job categories for Embedded Machine Learning Internship jobs in Escondido, CA are:
What cities near Escondido, CA are hiring for Embedded Machine Learning Internship jobs? Cities near Escondido, CA with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Escondido, CA as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $44,589 per year, or $21.4 per hour.

Embedded ISP Engineer

Apple

San Diego, CA • On-site

Full-time

Re-posted 15 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Camera Firmware team is seeking an outstanding firmware engineer to help drive innovative technologies for Apple's iconic products! As part of this dynamic team, you will work on core camera technologies, including Apple's custom Image Signal Processing (ISP) pipeline, hardware components, and machine learning techniques, all while contributing to the future of photography and videography. You'll play a key role in crafting how Apple develops, tests, and manufactures its products. Our close-knit team champions an environment of rapid product iteration, innovation, and collaboration across functional teams, offering you autonomy to make a significant impact on our products.
Description
In this role, you will develop, maintain, and troubleshoot firmware for Apple's camera systems. Your responsibilities will include:
- Developing Low-Level Device Drivers: Build drivers for advanced image processing pipelines in embedded systems, working with the latest SoC blocks and chipsets used in Apple products.
- Platform Validation and Development: Integrate and configure camera sensors and power management units for Apple products.
- Diagnosing and Troubleshooting Platform Issues: Identify and resolve performance and memory usage bottlenecks in embedded systems to ensure efficient functionality and stability.
- Designing and Implementing Camera Features: Build camera functionalities for embedded systems in Apple products, working multi-functionally to define features, communication protocols, and clear implementation specifications.
- Supporting Hardware Validation and Factory Testing: Contribute to hardware validation, offering firmware support during factory testing and implementing features to aid in hardware diagnostics and testing.
This is a highly collaborative product development role, requiring close coordination with teams such as Silicon Design, QA, and Machine Learning. The fast-paced, dynamic environment is ideal for a proactive, determined individual.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Hands-on experience in embedded software development
Proficiency in C/C++
Proficiency in development of multi-thread software within embedded RTOS system
Preferred Qualifications
Deep expertise and hands-on experience with ARM-based SoCs.
Strong background in image and video signal processing, including ISP and machine learning algorithms.
Proven ability to optimize system performance and improve the efficiency of embedded systems.
Exceptional problem-solving skills with a keen attention to detail.
Previous experience in camera systems or related fields is a plus.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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