Sr Engineer, AI/Machine Learning

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 problemsDevelop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar softwareResponsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systemsDesign, train and evaluate machine learning models using large datasets in the cloudPrototype new ideas/technologies to create proof of concept and demosContribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideasWork with cross-functional teams in the R&D group, including hardware and software engineersEffectively communicate with engineering and marketing teamsDesign clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological dataCarry out statistical analysis of clinical dataImplement physiological parameter measurement algorithms on embedded systemsDeliver high quality software design, documentation and implementationPerforms other duties as assignedMinimum Qualifications: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 miningExperience 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 methodsFamiliarity with DSP architecture and embedded systemsExposure to DSP ProgrammingExcellent conceptual, analytical, and problem-solving abilitiesAbility to excel in a fast-paced and dynamic work environmentExcellent verbal and written communication skillsPreferred Qualifications:Understanding of human physiology and exposure to designing clinical protocols are preferredPrior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plusEducationM.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field requiredCompensation + 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.Full timePosting Date: 2026-05-29