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Edge Ai Machine Learning Jobs in Riverside, CA (NOW HIRING)

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 ... the cutting edge of technology through the generation of patentable ideas • Effectively ...

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 ...

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 ...

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 ...

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 ...

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 ...

Skills C#, python, Generative AI, Machine learning, kubernetes, docker, mlflow, algorithms Top ... Experience with transformers, edge AI, federated learning, or real-time inference systems. Track ...

Skills C#, python, Generative AI, Machine learning, kubernetes, docker, mlflow, algorithms Top ... Experience with transformers, edge AI, federated learning, or real-time inference systems. Track ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Machine Learning Engineer II

Irvine, CA · On-site

$97K - $162K/yr

Advanced degree preferred. * 2+ years of experience in software engineering, with a focus on data-driven applications, machine learning, or AI, preferably in the aerospace or tech industry

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Edge Ai Machine Learning information

See Riverside, CA salary details

$26.6K

$44.4K

$91.8K

How much do edge ai machine learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for edge ai machine learning in Riverside, CA is $44,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

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?

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.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Riverside, CA? The most popular types of Edge Ai Machine Learning jobs in Riverside, CA are:
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What cities near Riverside, CA are hiring for Edge Ai Machine Learning jobs? Cities near Riverside, CA with the most Edge Ai Machine Learning job openings:
Infographic showing various Edge Ai Machine Learning job openings in Riverside, CA as of July 2026, with employment types broken down into 26% Internship, and 74% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,426 per year, or $21.4 per hour.

Engineer II, AI/Machine Learning

Masimo Wearables

Irvine, CA • On-site

$103K - $141K/yr

Full-time

Re-posted 3 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.