AI/ML Job: Senior Machine Learning Scientist


Senior Machine Learning Scientist at iRhythm

San Francisco, California, United States 🇺🇸   (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.

Job position

Job description
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.

Responsibilities include:

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
About you:

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

Instructions how to apply
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