1

Embedded Machine Learning Internship Jobs in Irvine, CA

Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ... Algorithm development experience using machine learning techniques such as regression ...

Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ... Algorithm development experience using machine learning techniques such as regression ...

Sr Engineer, AI (ECG)

Irvine, CA · On-site

$140K - $170K/yr

... embedded implementation, verification, regulatory submission, and post-market optimization. This ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Sr Engineer, AI (ECG)

Irvine, CA · On-site

$140K - $170K/yr

... embedded implementation, verification, regulatory submission, and post-market optimization. This ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

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 ...

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 ...

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 ...

... 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 ...

... 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 ...

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 ...

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 ...

next page

Showing results 1-20

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 Jul 21, 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 job categories do people searching Embedded Machine Learning Internship jobs in Irvine, CA look for? The top searched job categories for Embedded Machine Learning Internship jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Embedded Machine Learning Internship jobs? Cities near Irvine, CA with the most Embedded Machine Learning Internship job openings:

Sr Engineer, AI/Machine Learning

Masimo Wearables

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Masimo Wearables is seeking a Senior Engineer, AI/Machine Learning to join their R&D team focused on next-generation health monitoring devices. The role involves designing and developing AI and ML models for biomedical applications, collaborating with cross-functional teams, and analyzing data for critical medical insights.
Responsibilities:
• Design and develop AI and ML models to solve complex problems
• Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software
• Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems
• Design, train and evaluate machine learning models using large datasets in the cloud
• Prototype new ideas/technologies to create proof of concept and demos
• Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
• Work with cross-functional teams in the R&D group, including hardware and software engineers
• Effectively communicate with engineering and marketing teams
• Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data
• Carry out statistical analysis of clinical data
• Implement physiological parameter measurement algorithms on embedded systems
• Deliver high quality software design, documentation and implementation
• Performs other duties as assigned
Qualifications:
Required:
• At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling within the medical device industry
• Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
• Expertise in data analysis and data mining
• Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
• Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
• Familiarity with DSP architecture and embedded systems
• Exposure to DSP Programming
• Excellent conceptual, analytical, and problem-solving abilities
• Ability to excel in a fast-paced and dynamic work environment
• Excellent verbal and written communication skills
• M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required
Preferred:
• Understanding of human physiology and exposure to designing clinical protocols are preferred
• Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plus
Company:
The Masimo Freedom™ smartwatch empowers individuals to take control of their personal health through accurate and continuous health tracking. Founded in , the company is headquartered in , , with a team of 10001+ employees. The company is currently Late Stage.