AI/ML Engineer I – Medical Image Computing

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Create, train, and assess deep learning models focused on segmentation, landmark detection, registration, and 3D anatomical modeling.

• Develop artificial intelligence solutions to assist with image-guided interventions such as surgical planning, navigation, and tumor ablation.

• Construct image processing workflows for DICOM/NIfTI volumetric data spanning X-ray, CT, and MRI modalities.

• Evaluate extensive clinical imaging datasets and enhance data quality.

• Design reproducible experiments and assess performance using suitable statistical techniques.

• Produce high-quality, well-tested code and work collaboratively with engineering teams on system integration.

• Assist in verification and validation activities for the development of regulated medical devices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Biomedical/Electrical/Computer Engineering, Applied Mathematics, Physics, or a related field.

• More than 2 years of professional or graduate research experience in medical image analysis, computer vision, or deep learning (including graduate research and internships).

• Strong proficiency in Python, PyTorch, NumPy, and Git.

• Experience with at least one medical imaging library: MONAI, ITK/SimpleITK, VTK, or OpenCV.

• Knowledge of DICOM/NIfTI standards and familiarity with 3D volumetric imaging techniques (CT, MRI, X-ray).

• Working knowledge of CNNs, U-Net, Vision Transformers, as well as segmentation and registration processes.

• Comfortable working within Linux environments.

🏝️ Benefits

• Fully remote work opportunity available within the United States.