The business problem is to design and create next-generation health monitoring devices at Masimo, focusing on creating new non-invasive measurements and enabling measurement technologies to be applied to new applications, which can improve people’s lives by solving real-world problems.
Requirements
- 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.
- 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.
- Understanding of human physiology and exposure to designing clinical protocols are preferred.
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.
- Implement physiological parameter measurement algorithms on embedded systems.
- Deliver high quality software design, documentation and implementation.
Other
- 8+ years of professional working experience.
- M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required.
- Excellent verbal and written communication skills.
- Ability to excel in a fast-paced and dynamic work environment.
- Effectively communicate with engineering and marketing teams.
