Principal ML Scientist

Ph.D. in Computer Science, Biomedical Engineering, Data Science, or a related technical field. 8+ years of post Ph.D. or industry experience leading applied ML initiatives. Demonstrated technical leadership in developing and deploying ML models in regulated or clinical domains. Recognized expert in machine learning and medical imaging. Deep expertise in machine learning theory and practice, with a strong track record in 3D medical image analysis (segmentation, reconstruction, registration, restoration, detection, and/or predictive analytics). Strong track record of publications in top-tier machine learning, medical imaging or computer vision. Preferred: 12+ years of post Ph.D. or industry experience leading applied ML initiatives. Preferred: Hands-on expertise in advanced ML techniques such as vision transformers, self-supervised learning, continual/incremental learning, contrastive learning or physics-informed deep learning. Preferred: Experience with ML orchestration frameworks, such as Kubeflow, MLFlow, Ray, Metaflow, or Argo Workflow. Preferred: Strong domain knowledge in cardiac CT and coronary artery disease diagnostics. Preferred: Experience contributing to 510(k) submissions or working in a regulated SaMD development environment.

Lead design and development of ML and deep learning models for medical imaging and clinical data. Define technical and research strategies and lead proposals for new science or technology areas. Set technical direction for core ML initiatives, balancing scientific rigor with clinical and business priorities. Drive innovation in data representation, model architecture, and learning paradigms. Oversee rigorous validation, benchmarking, and regulatory-aligned evaluation of ML algorithms. Partner with cross-functional teams to drive the end-to-end lifecycle of medical products. Provide support and guidance in all phases of the product development cycle. Mentor and guide other ML scientists and engineers. Lead collaborative research efforts with academic and medical partners. Present findings, strategic insights, and technical recommendations to executive leadership and external stakeholders.