Senior Principal Algorithms Engineer - Medical Imaging AI

**Innovation starts from the heart. Our Advanced Innovation & Technology (AI&T) teams harness the imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future. If you’re an early-stage innovator, then Edwards AI&T team is the place for you to take the next steps in your career. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.** **About the Role** We are looking for a Senior Principal, **Algorithms Engineer** to **join the R&D team** developing **medical imaging AI** solutions focused on **segmentation, analysis, and 3D reconstruction** to **develop medical applications**. This is a **hands‑on role** with responsibility for building, integrating, and maintaining **end‑to‑end ML-driven systems**, from data ingestion and model development through inference, deployment, and application integration. **How you will make an impact:**  **Architecture & Engineering** * Contribute to system architecture and engineering standards across ML, data, and deployment components. * Design and implement **end‑to‑end ML systems**, covering data pipelines, model training, inference services, and application integration. * Participate in design reviews and technical decision‑making with a strong hands‑on implementation focus. **Medical Imaging & Machine Learning** * Apply deep understanding of ML development practices, including model architecture design, training strategies, evaluation, and inference optimization. * Optimize models for volumetric medical data with respect to accuracy, memory usage, and runtime performance. * Develop and optimize deep learning models for medical image segmentation. **Data Handling & Preprocessing** * Build and maintain production‑grade pipelines for large **DICOM** datasets. * Implement robust preprocessing and augmentation workflows supporting both training and inference at scale. **Integration, Deployment & MLOps** * Integrate ML models into production medical applications and backend services. * Design and implement inference and deployment strategies, including model versioning, performance tuning, and reliability in **AWS‑based environments**. * Work closely with other software developers to integrate ML solutions into the broader platform and end‑user applications. **Quality, Validation & Collaboration** * Work closely with **SQA & Automation engineers** to design ML systems for testability and to implement **advanced validation strategies**, including end‑to‑end, regression, and performance validations. * Support CI/CD pipelines by enabling automated testing and validation of ML models, data pipelines, and application integrations. **Collaboration & R&D** * Collaborate with engineering, QA, clinicians, and product teams to validate functionality, performance, and usability. * Stay current with advances in modern ML architectures, training techniques, and deployment practices, contributing hands‑on to R&D initiatives. **What you’ll need:**  * MSc. in Computer Science, Software Engineering, Biomedical Engineering, or equivalent practical experience. * **8+ years of professional Algorithms and Software Development experience**, including **hands‑on ownership of end‑to‑end ML systems** from design to production. * **Deep knowledge and understanding of machine learning development**, including modern architectures, training methodologies, inference optimization, and deployment. * Strong **Python** skills with proven hands‑on experience using **PyTorch**. * Proven experience with  * U‑Net variants (3D U‑Net, nnU‑Net) * 3D CNNs  * MONAI  * 3D Slicer * YOLO variants * and medical image segmentation pipelines. * Solid knowledge of medical imaging data formats (DICOM, NIfTI). * Strong foundation in **image processing** and **computer vision**. * Experience optimizing **GPU‑accelerated** and performance‑sensitive ML workloads. * Practical experience with **CI/CD pipelines**, automated testing, and **Git**‑based workflows. * Excellent documentation skills; strong English communication; collaborative and accountable team player. **What else we look for:**  * Advanced degree (M.Sc./Ph.D.) in a relevant field. * Experience deploying ML systems on **AWS** (including SageMaker). * Experience working in **regulated or medical software** environments. * Background in **3D visualization** or interactive medical applications. * Full‑stack experience (**Node.js, React, PostgreSQL**).