Staff Software Engineer / Machine Learning Engineer - Radiology

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About this kind of role

What a Staff Software Engineer / Machine Learning Engineer - Radiology usually does. The employer's own details are in the listing.

Typically does: This role involves designing, developing, and deploying machine learning models to solve problems in radiology, such as image analysis, diagnosis assistance, and workflow optimization. Responsibilities often include data preprocessing, feature engineering, model training, evaluation, and integration into existing systems. Collaboration with radiologists and other engineers is common to ensure solutions meet clinical needs and are technically sound. The engineer will also contribute to the improvement of machine learning infrastructure and processes.

Tools and skills: Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, cloud computing platforms (e.g., AWS, Azure, GCP), and experience with image processing techniques are generally required.

Good fit for: Individuals with a strong background in software engineering and machine learning, combined with an interest in healthcare and medical imaging, typically thrive in this position.