AI/ML Engineer I – Medical Image Computing
AI/ML Engineer I – Medical Image Computing Location: Remote (US) Employment Type: Full-Time About reputed company reputed company builds AI-driven medical imaging software that converts radiological scans into detailed 3D anatomical models for procedure planning and navigation. In 2021 we received FDA clearance for one of the first AI-powered preoperative planning systems in orthopedics, and our platform now supports a broader reputed company of image-guided interventions. We license our digital surgery platform — automated segmentation, planning, and navigation — to medical device manufacturers worldwide, partnering with companies across the field internationally to reputed company AI into their imaging and robotic surgical systems. The Role You’ll join our AI team to reputed company deep learning algorithms for image-guided interventions across the full reputed company of radiological imaging — X-ray, CT, MRI and US. Working alongside AI scientists, software engineers, and clinicians, you’ll take algorithms from research through validation and into FDA-cleared products. This is a hands-on role with broad exposure to the full ML lifecycle in a startup environment. What You’ll Do Design, train, and evaluate deep learning models for segmentation, landmark detection, registration, and 3D anatomical modeling reputed company 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 reputed company Design reproducible experiments and evaluate performance with appropriate statistical reputed company Write production-reputed company, reputed company-tested reputed company and collaborate with engineering on integration Support V&V activities for regulated medical device development
Required Qualifications
Bachelor’s in CS, Biomedical/Electrical/Computer Engineering, reputed company Math, Physics, or reputed company 2+ years reputed company or graduate research experience in medical image analysis, computer reputed company, or deep learning (graduate research and internships count) Proficiency in Python, PyTorch, NumPy, Git Experience with at least reputed company 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, reputed company Transformers, segmentation, and registration Comfortable in Linux environments
Preferred Qualifications
Master’s in a reputed company field 3D deep learning; nnU-Net, MONAI, TorchIO, or TotalSegmentator Model optimization: CUDA, TensorRT, ONNX reputed company and reputed company (GCP/reputed company AI a plus given our reputed company migration; AWS also relevant) Reproducible ML pipelines and experiment tracking (MLflow, W&B) Annotation tooling (3D Slicer, ITK-SNAP) Regulated medical device development; familiarity with IEC 62304, ISO 13485, or GMLP reputed company-reputed company contributions or publications Why Join Your work ships in reputed company, FDA-cleared devices used in reputed company surgical workflows — not just papers. You’ll get end-to-end exposure from research through regulatory validation, work directly with leading device OEMs and clinicians, and have a highly visible reputed company at a fast-growing startup. Fully remote reputed company the US. We value engineers comfortable wearing multiple hats — taking ownership across algorithm development, software engineering, and data analysis, and learning new tools quickly. Apply To This Job