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Signal Processing Machine Learning Jobs in Irvine, CA

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

Sr Engineer, AI (ECG)

Irvine, CA · On-site

$140K - $170K/yr

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar ...

RFML Engineer, EW

Costa Mesa, CA · On-site

$110K - $144K/yr

Develop and execute the strategic vision for integrating machine learning into RF sensing, signal processing, and wireless communication systems. * Spearhead the design and development of advanced ...

RFML Engineer, EW

Costa Mesa, CA · On-site

$166K - $220K/yr

Develop and execute the strategic vision for integrating machine learning into RF sensing, signal processing, and wireless communication systems. * Spearhead the design and development of advanced ...

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing techniques to solve complex biomedical engineering problems. * Develop software tools, scripts, and ...

Engineer II, Algorithm

Irvine, CA · On-site

$120K - $150K/yr

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing techniques to solve complex biomedical engineering problems. * Develop software tools, scripts, and ...

... processes as applicable * Troubleshoot issues related to model deployment, performance, and system ... signals in application materials based on available information. These tools assist our recruitment ...

... processes as applicable * Troubleshoot issues related to model deployment, performance, and system ... signals in application materials based on available information. These tools assist our recruitment ...

This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... signals in application materials based on available information. These tools assist our recruitment ...

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... signals in application materials based on available information. These tools assist our recruitment ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing ... signals in application materials based on available information. These tools assist our recruitment ...

Lead the design and development of advanced ECG signal processing algorithms, including filtering ... Experience applying machine learning techniques to ECG or time-series physiological data

Lead the design and development of advanced ECG signal processing algorithms, including filtering ... Experience applying machine learning techniques to ECG or time-series physiological data

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine learning models for processing reality capture data, contributing to automated progress tracking ...

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

... signal processing, or high-dimensional time-series data Required Experience and Skills * BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering ...

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Signal Processing Machine Learning information

See Irvine, CA salary details

$57.4K

$141K

$207.7K

How much do signal processing machine learning jobs pay per year?

As of Jul 24, 2026, the average yearly pay for signal processing machine learning in Irvine, CA is $140,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $158,300.00 per year, depending on experience, location, and employer.

What are some typical projects or responsibilities for a Signal Processing Machine Learning professional?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What is a Signal Processing Machine Learning job?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

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

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are popular job titles related to Signal Processing Machine Learning jobs in Irvine, CA? For Signal Processing Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Signal Processing Machine Learning jobs in Irvine, CA look for? The top searched job categories for Signal Processing Machine Learning jobs in Irvine, CA are:
Infographic showing various Signal Processing Machine Learning job openings in Irvine, CA as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $140,989 per year, or $67.8 per hour.

Sr Engineer, AI/Machine Learning

Masimo Wearables

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Posted 21 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.