Sr Engineer, AI/Machine Learning
Join the R&D team at Masimo and help design next-generation health-monitoring devices. This role focuses on creating new non-invasive measurements, adapting existing technologies to new applications, and advancing medical-device design. You’ll analyze data from diverse sources—continuous sensor streams, electronic medical records, speech/audio, and image/video—to discover medically relevant relationships and build computational models for disease diagnosis, event detection, and critical-event prediction.
Responsibilities
- Design and develop AI and ML models to solve complex biomedical problems.
- Create advanced algorithms using machine learning, deep learning, digital signal processing, optimization, and numerical modeling in MATLAB, Python, or similar tools.
- Design, train, and evaluate machine learning models on large cloud-based datasets.
- Prototype new ideas and technologies to create proof-of-concept demos.
- Generate patentable ideas that keep the organization at the cutting edge of technology.
- Collaborate with cross-functional R&D teams, including hardware and software engineers.
- Communicate effectively with engineering and marketing teams.
- Design clinical studies, collect physiological data from human subjects, and perform statistical analysis.
- Implement physiological-parameter measurement algorithms on embedded systems.
- Deliver high-quality software design, documentation, and implementation.
- Perform other duties as assigned.
Requirements
- M.S. or Ph.D. in Electrical Engineering, Biomedical Engineering, or a related field.
- At least 3+ years of experience in AI/ML, statistical signal processing, deep learning techniques, optimization methods, and numerical modeling within the medical-device industry.
- Algorithm development experience using machine learning techniques (regression, classification, clustering) and deep learning (neural networks, CNN, RNN).
- Expertise in data analysis and data mining.
- Proficiency with machine learning libraries and frameworks such as PyTorch, TensorFlow, Keras, and scikit-learn.
- Strong programming skills in MATLAB, Python, C/C++ and exposure to software engineering methods.
- Familiarity with DSP architecture and embedded systems, including DSP programming.
- Excellent conceptual, analytical, and problem-solving abilities.
- Ability to excel in a fast-paced, dynamic work environment.
- Strong verbal and written communication skills.
Preferred Qualifications
- Understanding of human physiology and experience designing clinical protocols.
- Prior experience applying AI/ML and signal processing techniques to biomedical signals.
Benefits
- Medical, dental, and vision insurance.
- Life, AD&D, and disability insurance.
- 401(k) retirement plan.
- Paid vacation, sick leave, and holidays.
- Paid maternity leave.
- Flexible spending accounts.
- Voluntary accident, critical illness, hospital, and long-term care insurance.
- Employee Assistance Program.
- Pet insurance.
- On-site wellness clinic, fitness center, and café.
Pay
Anticipated salary range: $140,000 – $170,000, with placement dependent on skills, education, and experience. Eligible for up to 10% annual bonus based on company, department, and individual performance.
Schedule
This is an onsite position at our Irvine, CA office.