[Hiring] ML Scientist Intern @Cleerly

Role Description

Join us for a full-time, 12- to 14-week internship that offers continuous learning, hands-on experience, and collaborative opportunities.

You’ll be working in a multidisciplinary, cross-functional AI team to research, analyze, and build machine learning (ML) algorithms and pipelines.

Key Responsibilities:

• Research and develop state-of-the-art ML prototypes for applications in coronary CT angiography.
• Conduct algorithmic analyses and evaluate prototype performance.
• Present findings and recommendations to peers and stakeholders.
• Contribute to patent applications and research publications.

Qualifications

• Currently enrolled in a PhD or MS program in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field.
• Research experience in applying machine learning and deep learning to medical image processing (e.g., denoising, registration, segmentation, classification, reconstruction, detection).
• Strong problem-solving skills.
• Proficiency in Python, PyTorch, or TensorFlow.
• Excellent interpersonal skills and ability to collaborate across groups and cultures.

Requirements

• Experience in developing and applying advanced deep learning models, such as Stable Diffusion, vision transformer, and building foundation models with self-supervised training.
• Strong track record of publications in top-tier medical imaging or computer vision conferences.

Benefits

• Hourly Salary (40 hours per week): $35 - $45
• Duration: 3-4 months
• Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Company Description

We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders.

• Raised $223M in Series C funding in 2022.
• Received an additional $106M in a Series C extension funding in December 2024.
• Most teams work remotely with access to offices in Denver, New York, Dallas, and Lisbon.
• Commitment to providing safe and effective medical software that meets customer needs.
• Adherence to all applicable regulatory and statutory requirements.