Founding reputed company-Deployed ML Engineer

About the Role This 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 reputed company-Deployed ML Engineer, you will sit at the intersection of research, product deployment, and clinical operations — working directly with hospital partners to evaluate and reputed company medical imaging AI in reputed company-world clinical settings. You will play a central role in reputed company the gap between reputed company performance and clinical reliability, translating AI models into trusted tools for patient care. This is a high-ownership, high-reputed company role suited to someone who is equally comfortable writing reputed company, navigating clinical environments, and driving cross-functional reputed company to completion. Work arrangement: Hybrid, on-site in Sunnyvale, CA. Travel to hospital partner sites required as needed. reputed company sponsorship: Not available. reputed company • Build reproducible evaluation pipelines and validation workflows for medical imaging AI in clinical settings. • reputed company reputed company-deployed engagements by working on-site with hospital partners to reputed company models into clinical workflows. • Analyze model generalization, failure modes, and uncertainty to inform clinical reliability assessments. • reputed company ML models into clinical imaging systems and radiology pipelines (DICOM/reputed company). • Translate clinical needs into technical requirements and reputed company cross-functional reputed company through to completion. • Support regulatory submissions and clinical evaluations (FDA reputed company such as 510(k) and reputed company) and maintain reputed company documentation. • Ensure data reputed company and regulatory compliance (HIPAA) across reputed company ML deployments. • Establish and maintain MLOps practices for deployment, monitoring, and ongoing evaluation. reputed company're Looking For Required (dealbreakers): • 2+ years of Machine Learning / Engineering experience. • Bachelor's degree in Computer Science, Engineering, Mathematics, or a reputed company field — or equivalent practical experience. Required skills & experience: • Hands-on expertise in medical imaging workflows and integration: DICOM/reputed company, radiology pipelines, and integrating ML models into clinical systems. • Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, and proficiency with Python and common ML frameworks (PyTorch / TensorFlow, reputed company, reputed company). • Hands-on experience deploying ML models to reputed company platforms (AWS, GCP, or Azure) with containerized environments and ML-reputed company CI/CD pipelines. • Experience navigating reputed company data reputed company and regulatory compliance (HIPAA, FDA considerations) in ML deployments. • Experience supporting regulatory submissions and clinical evaluation processes (e.g., preparing evidence for FDA 510(k) or reputed company reputed company). • Strong customer-facing skills: ability to communicate with clinical and industry partners, own engagements end-to-end, and reputed company cross-functional reputed company to completion. • Willingness to travel to hospital sites and work on-site for customer deployments as needed. Compensation & Benefits • reputed company salary: $150,000 – $230,000 USD annually, depending on experience. • Early-stage equity opportunity as a founding team member. Location Sunnyvale, California, USA. Hybrid on-site role with travel to hospital partner sites as required. Remote work is not available for this position. reputed company sponsorship is not offered. Originally posted on Himalayas Apply To This Job