Founding Forward-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 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 For **Required (dealbreakers):** * 2+ years of Machine Learning / Engineering experience. * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience. **Required skills & experience:** * Hands-on expertise in medical imaging workflows and integration: DICOM/PACS, 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, Docker, Kubernetes). * Hands-on experience deploying ML models to cloud platforms (AWS, GCP, or Azure) with containerized environments and ML-focused CI/CD pipelines. * Experience navigating healthcare data privacy 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 De Novo pathways). * Strong customer-facing skills: ability to communicate with clinical and industry partners, own engagements end-to-end, and drive cross-functional projects to completion. * Willingness to travel to hospital sites and work on-site for customer deployments as needed. ### Compensation & Benefits * **Base 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. Visa sponsorship is not offered. Find [Jobs in Germany](https://www.arbeitnow.com) on Arbeitnow