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Embedded Machine Learning Internship Jobs in Irvine, CA

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative ...

Medium

Senior Autonomy Software Engineer

Long Beach, CA · On-site

$140 - $200/hr

The role spans autonomy, perception, decision-making, planning, machine learning, classical ... Collaborate with Embedded Software engineers on platform integration, sensor interfaces, data ...

New

Vocalytics AI

Sr. Full Stack Engineer

Newport Beach, CA · On-site +1

We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services. We use a variety of tools, which we regularly evaluate to make ...

Vocalytics

Sr. Full Stack Engineer

Newport Beach, CA · On-site

We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services. We use a variety of tools, which we regularly evaluate to make ...

Anduril Industries

RFML Engineer

Costa Mesa, CA · On-site

$110K - $144K/yr

Develop and execute the strategic vision for integrating machine learning into RF sensing, signal ... Experience with real-time signal processing, DSP platforms, or mixed-signal embedded systems.

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

Embedded Machine Learning Internship information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

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 Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 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 are popular job titles related to Embedded Machine Learning Internship jobs in Irvine, CA? For Embedded Machine Learning Internship jobs in Irvine, CA, the most frequently searched job titles are:
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Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Irvine, CA as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $45,709 per year, or $22 per hour.

Jr Algorithms/Video Engineer

TRL11, Inc.

Irvine, CA • On-site

$80 - $150K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security.

Location: Irvine, CA (in-person position)

Responsibilities:

  1. Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras.
  2. Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency.
  3. Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance.
  4. Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems.
  5. Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings.
  6. Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders.
  7. Experience debugging with video processing pipelines would be nice
  8. Mentor junior team members, providing guidance and technical expertise to foster their professional growth.

Requirements

  1. Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field.
  2. Strong programming skills in C/C++, Python required, with experience in embedded software development a plus.
  3. Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision.
  4. Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing.
  5. Experience working with video processing pipelines and workflows.
  6. Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers.
  7. Familiarity with basic image processing techniques, camera systems, and sensor integration.
  8. Knowledge of real-time operating systems (RTOS) and software development for embedded systems.
  9. Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  10. Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams.

Nice to Have:

  • US Citizenship / Green Card

Benefits

  • Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun doing it
  • Base salary $80- $150k, depending on experience
  • Bonus, 401k, Health Care Plan (Medical, Dental, Vision)
  • Unlimited Paid Time Off (with prior approval), for Vacation, Sick & Public Holidays, Maternity, Paternity
  • Possible Stock Option Plan participation, based on performance and tenure.