AI/ML Engineer I – Medical Image Computing

Job not on LinkedIn

🕒 July 8

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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ProVoyance

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2019

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

ProVoyance is a medical software company that develops FDA-cleared, AI-powered surgical planning and navigation platforms for orthopaedics. The company provides licensable, regulatory-compliant software-as-a-medical-device core stacks — including DICOM-to-3D transformation, automated AI segmentation, configurable planning workflows, and plan-to-navigation integration — aimed at OEM medical device manufacturers to accelerate product development and regulatory clearance.

📋 Description

• Design, train, and evaluate deep learning models for segmentation, landmark detection, registration, and 3D anatomical modeling • Develop AI supporting image-guided interventions including surgical planning, navigation, and tumor ablation • Build image processing pipelines for DICOM/NIfTI volumetric data across X-ray, CT, and MRI • Analyze large clinical imaging datasets and improve data quality • Design reproducible experiments and evaluate performance with appropriate statistical methods • Write production-quality, well-tested code and collaborate with engineering on integration • Support V&V activities for regulated medical device development

🎯 Requirements

• Bachelor’s in CS, Biomedical/Electrical/Computer Engineering, Applied Math, Physics, or related • 2+ years professional or graduate research experience in medical image analysis, computer vision, or deep learning (graduate research and internships count) • Proficiency in Python, PyTorch, NumPy, Git • Experience with at least one medical imaging library: MONAI, ITK/SimpleITK, VTK, or OpenCV • Familiarity with DICOM/NIfTI and 3D volumetric images (CT, MRI, X-ray) • Working knowledge of CNNs, U-Net, Vision Transformers, segmentation, and registration • Comfortable in Linux environments

🏖️ Benefits

• Fully remote within the US