Cleerly, Inc. logo

2026 ML Scientist Summer Internship

Job Overview

Location

New York, New York, United States

Job Type

Full-time

Category

Data Science

Date Posted

April 14, 2026

Full Job Description

📋 Description

  • Join Cleerly as a 2026 ML Scientist Summer Intern to contribute to cutting-edge AI-driven solutions that revolutionize heart disease diagnosis and prevention through advanced analysis of coronary CT angiography.
  • Day-to-day responsibilities include researching and developing state-of-the-art machine learning prototypes, conducting algorithmic analyses and performance evaluations, presenting findings to cross-functional peers and stakeholders, and contributing to patent applications and research publications.
  • Cleerly is a fast-growing healthcare technology company founded in 2017 by a leading cardiologist, dedicated to transforming cardiovascular care with AI-powered precision diagnostics, backed by over $329M in funding and operating with a remote-first culture across global offices in Denver, New York, Dallas, and Lisbon.
  • This internship offers hands-on experience in a multidisciplinary AI team, enabling you to deepen expertise in medical image processing, publish impactful research, and grow as a scientist while supporting Cleerly’s mission to prevent heart attacks through innovative technology.

Skills & Technologies

Python
TensorFlow
PyTorch
Junior
Remote
Degree Required

Ready to Apply?

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Cleerly, Inc. logo
Cleerly, Inc.
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About Cleerly, Inc.

Cleerly uses AI-powered coronary CT angiography analysis to quantify atherosclerotic plaque and stenosis, enabling clinicians to identify, stage, and track heart disease earlier and more precisely than traditional stress testing or catheterization. The company offers cloud-based software and clinical services that integrate with existing imaging workflows, providing standardized, reproducible reports that guide preventive cardiology and personalized treatment decisions. Cleerly partners with health systems, imaging centers, and payers to improve cardiovascular risk assessment and reduce myocardial infarction rates.

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