Masimo is looking to design and create next-generation health monitoring devices by analyzing data from various sources to discover relationships among measurements and medically relevant conditions, and developing computational models for disease diagnosis, detection, and prediction of critical events.
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.
- Expertise in data analysis and data mining.
- Experience with machine learning libraries and modern frameworks such as Tensor flow, Keras, Pytorch, 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.
Responsibilities
- Design and develop AI and ML models to solve complex problems.
- Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems.
- Develop new advanced signal processing algorithms using digital signal processing, machine learning techniques, deep learning algorithms, optimization and numerical modeling in MATLAB, Python or similar software.
- Design, train and evaluate machine learning models using large datasets.
- 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
- 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.
- Excellent conceptual, analytical, and problem-solving abilities.
