Founding Forward-Deployed ML Engineer

About the RoleThis is a founding-team opportunity at a small, fast-moving healthtech AI company building evidence infrastructure for safety-critical medical imaging AI. As a Founding Forward-Deployed ML Engineer, you will sit at the intersection of research, product deployment, and clinical operations — working directly with hospital partners to evaluate and deploy medical imaging AI in real-world clinical settings. You will play a central role in bridging the gap between benchmark performance and clinical reliability, translating AI models into trusted tools for patient care. This is a high-ownership, high-impact role suited to someone who is equally comfortable writing code, navigating clinical environments, and driving cross-functional projects to completion. Work arrangement: Hybrid, on-site in Sunnyvale, CA. Travel to hospital partner sites required as needed. Visa sponsorship: Not available. What You'll Do• Build reproducible evaluation pipelines and validation workflows for medical imaging AI in clinical settings. • Lead forward-deployed engagements by working on-site with hospital partners to integrate models into clinical workflows. • Analyze model generalization, failure modes, and uncertainty to inform clinical reliability assessments. • Integrate ML models into clinical imaging systems and radiology pipelines (DICOM/PACS). • Translate clinical needs into technical requirements and drive cross-functional projects through to completion. • Support regulatory submissions and clinical evaluations (FDA pathways such as 510(k) and De Novo) and maintain related documentation. • Ensure data privacy and regulatory compliance (HIPAA) across all ML deployments. • Establish and maintain MLOps practices for deployment, monitoring, and ongoing evaluation. What We're Looking ForRequired (dealbreakers): • 2+ years of Machine Learning / Engineering experience. • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivale