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Physics Informed Machine Learning Jobs in Irvine, CA

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Physics, or a related technical field required. Master's or PhD degree preferred. Language ...

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

AI Solutions Engineering Delivery Lead

Irvine, CA · On-site

$110K - $144K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Apply statistical, econometric and machine-learning techniques to commodity-specific datasets and ... Master's degree or PhD in mathematics, statistics, econometrics, financial economics, physics ...

Apply statistical, econometric and machine-learning techniques to commodity-specific datasets and ... Master's degree or PhD in mathematics, statistics, econometrics, financial economics, physics ...

Showing results 41-60

Physics Informed Machine Learning information

See Irvine, CA salary details

$5

$21

$27

How much do physics informed machine learning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for physics informed machine learning in Irvine, CA is $21.54, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $27.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Irvine, CA? For Physics Informed Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Irvine, CA look for? The top searched job categories for Physics Informed Machine Learning jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Physics Informed Machine Learning jobs? Cities near Irvine, CA with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,794 per year, or $21.5 per hour.

Engineer II, Algorithm

Masimo

Irvine, CA

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Job Summary:

The Engineer II, Algorithm supports the design, development, testing, and optimization of advanced signal processing and physiological measurement algorithms used in Masimo's medical technologies and monitoring platforms. This role contributes to the development of next-generation noninvasive monitoring solutions through data analysis, modeling, experimentation, and cross-functional engineering collaboration.

The Engineer II works closely with algorithm, software, systems, hardware, clinical, and regulatory teams to develop robust, scalable, and clinically reliable algorithms that support product innovation and performance improvements across Masimo's portfolio.

Please note this is an onsite position at our Irvine, CA. office. 

Duties & Responsibilities:

  • Design, develop, implement, test, and optimize signal processing and physiological measurement algorithms for medical device applications. 
  • Analyze physiological and clinical data sets to evaluate algorithm performance, accuracy, robustness, and reliability. 
  • Support development activities across the algorithm lifecycle, including concept development, feasibility analysis, prototyping, verification, validation, and product integration. 
  • Apply statistical analysis, numerical modeling, machine learning, and digital signal processing techniques to solve complex biomedical engineering problems. 
  • Develop software tools, scripts, and simulation environments to support algorithm development and data analysis activities. 
  • Collaborate with software, hardware, systems, clinical, and quality engineering teams to support product development initiatives. 
  • Participate in clinical data collection activities, experimental design, and analysis of human subject study data. 
  • Contribute to root cause investigations, troubleshooting efforts, and continuous improvement activities related to algorithm performance. 
  • Document technical designs, development activities, verification results, and engineering analyses in accordance with design control and quality system requirements. 
  • Support regulatory submissions and technical documentation activities as needed. 
  • Participate in technical reviews, design discussions, and cross-functional project meetings. 
  • Stay current with emerging technologies, industry trends, and advancements in biomedical signal processing, AI/ML applications, and physiological monitoring.

Minimum Qualifications:

  • 2-5 years of related engineering experience in algorithm development, signal processing, biomedical engineering, software engineering, or a related technical discipline within the medical device industry 

  • Experience with digital signal processing, statistical analysis, optimization methods, and numerical modeling

  • Strong programming and software development skills using MATLAB, Python, C/C++, or similar technical computing languages

  • Experience analyzing large data sets and developing data-driven solutions

  • Strong analytical, problem-solving, and troubleshooting skills

  • Ability to work effectively in a fast-paced, collaborative, and highly technical environment

  • Strong written and verbal communication skills

  • Ability to manage multiple priorities and contribute across concurrent projects

Preferred Qualifications:

  • Experience developing algorithms for biomedical, physiological, wearable, or medical device applications

  • Familiarity with machine learning, AI, or advanced data analytics techniques

  • Understanding of human physiology and biomedical signal acquisition methods

  • Understanding of embedded systems and software development principles

  • Experience working within regulated environments such as FDA, ISO 13485, or IEC 62304

  • Exposure to clinical study design, clinical data analysis, or verification and validation activities

  • Experience with cloud-based data analysis tools, version control systems, and collaborative software development workflows

Education:

Bachelor's degree in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field required. Master's or PhD degree preferred.

Language requirements:

  • Ability to read, write, and communicate effectively in English
  • Ability to interpret technical documents, schematics, and written instructions
  • Ability to clearly document technical findings and communicate with cross-functional team members 

Compensation + Benefits: 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, Cafe. All benefits are subject to eligibility requirements.

Physical requirements/Work environment:

This position primarily works in an office environment and requires frequent sitting, standing, and walking. Daily use of a computer and other digital devices is required. This role may require standing for extended periods when facilitating meetings or walking through facilities.

The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods.  Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.                              


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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

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