ML Research Engineer / Scientist

Responsibilities:

• Design, develop, train, and evaluate machine learning models capable of interpreting complete CT studies at the study level.
• Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
• Develop and investigate vision-language models that connect medical images with the terminology and reporting patterns used by radiologists.

Requirements:

• Strong practical experience with modern machine learning and deep learning, particularly using PyTorch for custom architectures, training loops, and experimentation.
• Deep understanding of why machine learning architectures, objectives, optimization strategies, and training approaches work.
• Demonstrated ability to independently formulate hypotheses, design experiments, interpret results, and iterate toward better models.

Benefits:

• Fully remote position open to candidates worldwide.
• Opportunity to work with a real-world CT dataset covering approximately 10 million patients, paired with radiology reports.
• Direct collaboration with fellowship-trained radiologists across areas including chest, body, MSK, neuro, and oncology.