We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role focuses on building robust algorithms for segmentation, quantification, and detection across CT, MRI, and X-ray.
3+ years of experience developing ML/DL models for image analysis
Demonstrated experience with segmentation, detection, and/or quantitative imaging algorithms (2D and/or 3D)
Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with modern architectures (U-Net variants, detection frameworks, transformers, or foundational models)
Familiarity with DICOM and medical imaging workflows
Strong understanding of evaluation metrics (Dice, IoU, ROC/AUC, sensitivity/specificity)
Experience with version control and collaborative development (e.g., Git)
Demonstrated ability to produce clear, structured technical documentation