AI/ML Engineer I – Medical Image Computing

ProVoyance

AI/ML Engineer developing deep learning algorithms for image-guided interventions. Collaborating with scientists and software engineers to transform research into FDA-cleared products.

Posted 7/8/2026full-timeRemote • Missouri • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evaluating deep learning models for medical image analysis, with proficiency in Python and experience in developing image processing pipelines for DICOM/NIfTI data. Strong background in statistical methods for performance evaluation and familiarity with medical imaging libraries and techniques.

Highest-signal resume keywords

Deep Learning Model DesignMedical Image AnalysisPython ProficiencyDICOM/NIfTI FamiliarityImage Processing Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningImage SegmentationLandmark DetectionStatistical MethodsCNNsU-NetVision TransformersImage RegistrationProduction-Quality CodeData Quality Improvement

Tools & Technologies

PyTorchNumPyGitMONAIITK/SimpleITKVTKOpenCVLinux

Industry Keywords

Medical Imaging3D Volumetric ImagesClinical Imaging DatasetsImage-Guided InterventionsSurgical PlanningNavigationTumor AblationV&V ActivitiesRegulated Medical Device Development

Tech Stack

Tools & technologies

LinuxNumpyPythonPyTorchRay

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