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Embedded Machine Learning Internship Jobs in Los Angeles, CA

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

Liquid XR

Software Engineer

Los Angeles, CA

The Role We are seeking a Software Engineer to interface with embedded systems, machine learning models, and 3D game engines. This role focuses on building reliable, reusable systems that build upon ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Los Angeles, CA

Embedded Machine Learning Internship information

See Los Angeles, CA salary details

$27.5K

$45.9K

$94.8K

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

As of Sep 1, 2026, the average yearly pay for embedded machine learning internship in Los Angeles, CA is $45,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $49,600.00 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
Infographic showing various Embedded Machine Learning Internship job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $45,884 per year, or $22.1 per hour.

Embedded Software Engineering Intern (2027 Summer Internship)

Northwoodspace

Torrance, CA • On-site

Full-time

Posted 3 days ago

New

Job description

Northwood is a modern space infrastructure company bringing the benefits of space to the masses through advanced communications technology. We are building a global network of phased array ground stations that enable real-time, reliable communication for satellite missions such as national security, global connectivity, and disaster response. With a vertically integrated approach, Northwood designs, builds, and rapidly deploys scalable systems that power the next generation of space missions. If you like solving complex challenges and seeing your work deployed around the world with real impact, Northwood is the place to do it.
Role Overview
Come help build the embedded systems powering Northwood's next-generation ground stations! As an Embedded Software Engineering Intern, you'll work alongside our hardware, firmware, and software engineers to develop and test embedded systems that connect our hardware and software platforms.
You'll have the opportunity to work on real systems, contribute to production-relevant projects, and gain hands-on experience with embedded Linux, hardware interfaces, and system-level development. This is a great opportunity for someone who enjoys working close to the hardware, solving challenging technical problems, and learning how complex systems are built from the ground up.
Responsibilities
  • Develop and test software for Linux-based embedded devices
  • Contribute to embedded Linux tooling, system configuration, and user-space applications
  • Help develop and improve over-the-air (OTA) software update capabilities
  • Debug software and hardware integration issues alongside firmware and hardware engineers
  • Work with common hardware communication interfaces such as I2C, SPI, UART, and USB
  • Use laboratory equipment such as oscilloscopes, logic analyzers, and multimeters to troubleshoot systems
  • Write tests and documentation to improve the reliability and maintainability of embedded systems
  • Collaborate with FPGA, electrical, firmware, and software engineers on system integration
  • Own an internship project and present your work and learnings at the end of the internship

Basic Qualifications
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
  • Experience programming in C, C++, Rust, Python, or a similar language through coursework, projects, research, or previous internships
  • Familiarity with Linux environments and command-line tools
  • Understanding of fundamental computer architecture and operating system concepts
  • Familiarity with embedded systems, microcontrollers, or hardware/software interaction
  • Strong problem-solving skills and willingness to learn new technologies
  • Ability to work collaboratively in a hands-on engineering environment

Preferred Qualifications
  • Experience with embedded Linux environments such as Yocto or PetaLinux
  • Experience with common bus interfaces such as I2C, SPI, UART, or USB
  • Experience with microcontrollers, development boards, or FPGA-based systems
  • Familiarity with RTOS environments such as Zephyr or FreeRTOS
  • Experience with networking fundamentals
  • Experience programming in Rust
  • Familiarity with Git and software development workflows
  • Experience using oscilloscopes, logic analyzers, multimeters, or other laboratory equipment
  • Personal, academic, or extracurricular projects involving embedded software, robotics, electronics, or similar systems

Additional Information:
If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Northwood Space is an Equal Opportunity Employer; employment with Northwood Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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