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Machine Learning Engineer Jobs in Irvine, CA (NOW HIRING)

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

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 ...

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134K - $158K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of ... You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...

PDS Health

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K - $168K/yr

Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and ... Mentor junior engineers in AI/Machine Learning (ML) fundamentals, coding standards, and deployment ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

PDS Health

Sr Engineer, AI Solutions

Irvine, CA · On-site

$58.50 - $75.50/hr

Responsibilities : • Design and implement AI/Machine Learning (ML) solutions across domains such ... engineering, embeddings, vector stores, and Retrieval-Augmented Generation (RAG). • Build and ...

PDS Health

Sr Engineer, AI Solutions

Irvine, CA · On-site

$130K/yr

The Senior Engineer, AI Solutions collaborates with cross-functional teams to design, develop, and ... Design and implement AI/Machine Learning (ML) solutions across domains such as computer vision and ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Irvine, CA

Machine Learning Engineer information

See Irvine, CA salary details

$33.8K

$138.2K

$207.7K

How much do machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning engineer in Irvine, CA is $138,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $166,400.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

Sr Engineer, AI/Machine Learning

Masimo

Irvine, CA • On-site

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Job Description
Job Summary:
The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices, working on creating new non-invasive measurements, enable measurement technologies to be applied to new applications, and facilitate the design and creation of next-generation medical 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 data from continuous streams of invasive and non-invasive sensors, electronic medical records as well as speech/audio and image/video. The Sr Engineer, AI & ML 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
  • 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

Minimum Qualifications:
  • At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling
  • 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

Preferred Qualifications:
  • 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

Education
M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required
Compensation + Benefits: The anticipated range for this position is $140,000 - $170,000. 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.
  • 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

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