Senior Machine Learning Scientist
🇺🇸 United States › California › San Francisco (Posted Jun 5 2018)
About the company
iRhythm is a leading digital healthcare company focused on the way cardiac arrhythmias are clinically diagnosed by combining our wearable biosensing technology with powerful cloud-based data analytics and machine- learning capabilities. Our goal is to be the leading provider of first-line ambulatory ECG monitoring for patients at risk for arrhythmias. iRhythm’s continuous ambulatory monitoring has already put over 1 million patients and their doctors on a shorter path to what they both need – answers.
We are looking for a senior machine learning scientist in our San Francisco, CA location to help develop the next generation of our algorithms and play a key role in our data science initiatives. The successful candidate will have the opportunity to join a new team applying data-driven machine learning technologies to large data sets from wearable medical sensors.
Research, design, and implement new machine learning techniques for the analysis of electrocardiogram (ECG) data
Adapt standard machine learning methods to exploit parallel environments like GPUs
Work closely with our software engineering team and clinical experts to deploy machine learning algorithms into production
Skills & requirements
MS with 3+ years of industry experience or PhD in computer science or related field with focus on machine learning to solve real-world problems with large data sets
Excellent knowledge and practical background in Machine Learning and Deep Learning
Experience with Deep Learning frameworks (such as TensorFlow)
Programming experience in Python and familiarity with Python libraries like numpy, scikit-learn, pandas etc.
Experience working with large data sets and excellent knowledge of database languages (such as SQL)
Strong interpersonal and verbal communication skills
MS or PhD in Computer Science, Electrical Engineering, Statistics or a related quantitative field
Additional desired/preferred qualifications include:
Previous research experience with biomedical data
Experience developing software in a Unix/Linux programming environment
Familiarity with cloud computing and big data technologies
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