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AI/ML Engineer I – Medical Image Computing
ProVoyanceAI/ML Engineer developing deep learning algorithms for image-guided interventions. Collaborating with scientists and software engineers to transform research into FDA-cleared products.
Tech Stack
Tools & technologiesLinuxNumpyPythonPyTorchRay
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Fully remote within the US
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
Deep LearningImage SegmentationLandmark DetectionStatistical MethodsCNNsU-NetVision TransformersImage RegistrationProduction-Quality CodeData Quality Improvement