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Embedded Machine Learning Engineer Jobs in Irvine, CA

Masimo Wearables

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$103K - $141K/yr

The AI/Machine Learning Engineer II will analyze data from various sources to develop computational models for disease diagnosis and prediction of critical events. Responsibilities : • Design and ...

Masimo Wearables

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

Masimo Wearables is seeking a Senior Engineer, AI/Machine Learning to join their R&D team focused ... algorithms on embedded systems • Deliver high quality software design, documentation and ...

FieldAI

Senior Machine Learning Engineer

Irvine, CA · On-site

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

$175 - $200/hr

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

New

FieldAI

Senior Machine Learning Engineer

Irvine, CA

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Veritone

AI/Machine Learning Engineer

Irvine, CA

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Compunnel

Machine Learning Engineer

Aliso Viejo, CA · On-site

$109K - $144K/yr

plaintext Job Title: Lead I JOB SUMMARY Design and develop ML solutions, that will enable intelligent experiences and provide value. Collaboratively work with business, technology, and product teams ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

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

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

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

Capgroup

Senior Machine Learning Engineer

Irvine, CA · On-site

$131K - $173K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are looking for ...

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Showing results 21-40

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

Embedded Machine Learning Engineer information

See Irvine, CA salary details

$75.1K

$164.6K

$186.8K

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

As of Aug 8, 2026, the average yearly pay for embedded machine learning engineer in Irvine, CA is $164,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,200.00 and $185,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Irvine, CA? For Embedded Machine Learning Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Irvine, CA look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Embedded Machine Learning Engineer jobs? Cities near Irvine, CA with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you

Engineer II, AI/Machine Learning

Masimo Wearables

Irvine, CA • On-site

$103K - $141K/yr

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Masimo Wearables is focused on the design and creation of next-generation health monitoring devices. The AI/Machine Learning Engineer II will analyze data from various sources to develop computational models for disease diagnosis and prediction of critical events.
Responsibilities:
• Design and develop AI and ML models to solve complex problems
• Design, train and evaluate machine learning models using large datasets
• Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
• Effectively communicate with engineering and marketing teams
• Delivering high quality software design, documentation and implementation
Qualifications:
Required:
• Experience in artificial intelligence, machine learning and/or deep learning within the medical device industry
• Experience with machine learning libraries and modern frameworks such as Tensorflow, Keras, Pytorch, scikit-learn, etc.
• Experience with Python, Matlab and C++
• Hands-on experience of development to solve problems such as: regression, classification, clustering, dimensionality reduction, structured output and anomaly detection
• M.S./Ph.D. degree in Electrical/Computer Engineering/Computer Science
Preferred:
• Experience in applying AI/ML to biomedical data
• Experience with computer vision and/or robotics
• Experience with databases and their tools
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.

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