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Edge Ai Machine Learning Jobs in California (NOW HIRING)

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 ... It is a cutting-edge research and development opportunity with the potential to improve people ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and ... It is a cutting-edge research and development opportunity with the potential to improve people ...

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 ... cutting edge of technology through the generation of patentable ideas • Work with cross ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are the most commonly searched types of Edge Ai Machine Learning jobs in California? The most popular types of Edge Ai Machine Learning jobs in California are:
What are popular job titles related to Edge Ai Machine Learning jobs in California? For Edge Ai Machine Learning jobs in California, the most frequently searched job titles are:
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Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in California as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 94% In-person, and 6% Remote job distribution.
Engineer II, AI/Machine Learning

Engineer II, AI/Machine Learning

Masimo

Irvine, CA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description


Job Summary:
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 development opportunity with the potential to improve people's lives by solving real-world problems. The key focus will be in analyzing data from different sources to discover relationships among various measurements and medically relevant conditions and developing computational models for disease diagnosis, detection and prediction of critical events.
Responsibilities will include working with continuous streams of data from invasive and non-invasive sensors. The AI/ML Engineer will also closely work with our software, hardware and systems teams to ensure an efficient deployment in Masimo products.
Please note this is an onsite position at our Irvine, CA. office.
Duties & 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

Minimum Qualifications:
  • 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

Preferred Qualifications:
  • Experience in applying AI/ML to biomedical data
  • Experience with computer vision and/or robotics
  • Experience with databases and their tools

Education:
  • M.S./Ph.D. degree in Electrical/Computer Engineering/Computer Science, (advanced degree preferred)

Compensation: The anticipated range for this position is $120,000 - $150,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Café. All benefits are subject to eligibility requirements.
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About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

Social media

Twitter

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