Senior AI/ML Scientist, Cardiovascular AI

What you'll do

• Translate cardiovascular clinical workflows into AI/ML problem definitions, data strategies, and model requirements.
• Design and implement deep learning architectures, foundation models, and vision-language models for cardiovascular imaging.
• Drive validation strategies to ensure statistical rigor, model robustness, and clinical relevance of AI outputs.
• Lead cross-functional efforts across data acquisition, annotation, model development, and validation with clinical and engineering teams.
• Manage and prioritize multiple AI/ML initiatives across the cardiovascular product portfolio.
• Contribute to intellectual property, publications, and external collaborations in the cardiovascular AI space.
• Mentor junior team members and influence technical direction across various projects.
• Apply state-of-the-art AI/ML research techniques to solve complex cardiovascular clinical challenges.

What we're looking for

• PhD (preferred) or MS with strong experience in Computer Science, AI, Biomedical Engineering, or a related field.
• 5–10+ years of experience in AI/ML, including deep learning.
• Strong programming experience in Python with frameworks such as PyTorch or TensorFlow.
• Proven track record of delivering AI/ML models in real-world or production environments.
• Experience working with complex datasets, ideally within medical imaging, cardiovascular data, or healthcare.
• Experience contributing to publications, patents, or research collaborations.
• Experience with cardiovascular imaging modalities, time-series physiological data, or regulated environments (preferred).
• Export Control: “A successful candidate.