ML Engineering Intern
Location
San Francisco
Job Type
Part-time and Full-time
About the role
At Safebeat Rx, we're making life-saving EKG software to replace a hospitalization. We're applying ML to cardiovascular disease detection, so far this means interpreting time-series data from ECG signals and determining whether they exhibit certain issues (more on this when you join!). We are currently doing this via a combination of signal processing and ML algorithms, but there's always lots of room for improvement in terms of the algorithms, the approach, signal selection and cleanup, among others.
Activities include:
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You will be part of a team pushing the boundaries of ML-enhanced electrocardiography
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You will be expected to be proactive, look at our current approach and read research papers on the subject to find alternative approaches
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Build prototypes to quickly test these approaches documenting the results.
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You will own your project and take your own decisions, write code, run experiments, evaluate results, and draw conclusions
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You'll work with our engineers. They will be there to assist you with all of these tasks and brainstorm with you
Candidate Requirements:
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Currently enrolled full-time in an undergraduate program, or enrolled full-time in a graduate program (M.S., M.E., Ph. D., or M.D.), pursuing a degree majoring in a scientific, technology or engineering field
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A decent understanding of Python
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Experience with ML libraries (scikit, numpy, keras/pytorch/tensorflow)
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Experience using Git
Why you should join SafeBeat Rx
At SafeBeat Rx (YC S21), we are building ECG software that saves lives and replaces a hospitalization. By joining our team, you will have a direct impact on millions of patients' lives. Because we focus on medical software, our FDA and go-to-market pathways are much faster than other biotech/medtech startup companies. If our mission and product excite you, we would love to connect.