Machine Learning Staff Engineer

Company: Edwards Lifesciences Corp
Location: Irvine, California, United States
Type: Full-time
Posted: 28.AUG.2021
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The Machine Learning Staff Engineer leverages research, design and development experience in new medical device and product development. We ...


The Machine Learning Staff Engineer leverages research, design and development experience in new medical device and product development. We are seeking for an exceptional and self-motivated Machine Learning Engineer to join our growing team in the Applied Machine Learning Group. Responsibilities include applying machine learning, time series models, physiological signal processing, and human physiology to develop algorithms for minimally invasive and noninvasive critical care patient monitoring products. Responsible for performing research and feasibility of new concepts, conducting animal studies and R clinical trials, analyzing data, drawing conclusions and preparing final reports and presentations. Required Qualifications:Master's degree in biomedical engineering or electrical engineering and 5+ years of professional experience with a strong background in mathematics, machine learning, and signal processing is required4+ years of experience building ML models and putting into productionStrong clinical and engineering communication skill set is needed to facilitate working with Edwards teams and executives, physician collaborators and principal investigatorsStrong theoretical and applied background in Digital Signal Processing (DSP), mathematical modeling and algorithm development for biomedical applicationsStrong experience in scripting languages, such as MATLAB and Python for prototyping, testing and validation of signal processing algorithms and model developmentMust be a highly motivated self-starter who is able to achieve results with minimal direction.Requires a high-energy individual who has excellent teamwork, partnering, and negotiation skillsMust be proactive and creative in achieving goalsPreferred Qualifications:PhD in biomedical engineering or electrical engineering and 2+ years of professional experience is strongly preferredExperience with deep learning techniques (CNN, LSTM, RNN, etc) is a plusHigh degree of familiarity with Sklearn, TensorFlow/Keras, PytorchUnderstanding of some big data tools and experience with cloud-based providers (AWS, Azure) is a plusStrong theoretical and applied background in human physiology and anatomy is a plusExperience in hemodynamics and cardiovascular biomechanics is a plusExperience working with high resolution time series data (ECG, arterial blood pressure, etc) is a plusImpeccable documentation of work results - experience in writing scientific reports and papers is a plusAdvanced problem-solving, organizational, analytical and critical thinking skillsExtensive understanding of all fundamental principles of Algorithm development for biomedical applicationMust be able to work in a team environment, including frequent inter-organizational and outside customer contactsRepresents organization in providing solutions to difficult technical issues associated with specific projectsE dwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

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