Founding Forward-Deployed ML Engineer

Clera

remote 8/8/2026 Full Time

<h3>About the Role</h3>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.<h3>What You'll Do</h3><ul style="min-height:1.5em"><li>Build reproducible evaluation pipelines and validation workflows for medical imaging AI in clinical settings.</li><li>Lead forward-deployed engagements by working on-site with hospital partners to integrate models into clinical workflows.</li><li>Analyze model generalization, failure modes, and uncertainty to inform clinical reliability assessments.</li><li>Integrate ML models into clinical imaging systems and radiology pipelines (DICOM/PACS).</li><li>Translate clinical needs into technical requirements and drive cross-functional projects through to completion.</li><li>Support regulatory submissions and clinical evaluations (FDA pathways such as 510(k) and De Novo) and maintain related documentation.</li><li>Ensure data privacy and regulatory compliance (HIPAA) across all ML deployments.</li><li>Establish and maintain MLOps practices for deployment, monitoring, and ongoing evaluation.</li></ul><h3>What We're Looking For</h3>Required (dealbreakers):<ul style="min-height:1.5em"><li>2+ years of Machine Learning / Engineering experience.</li><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.</li></ul>Required skills & experience:<ul style="min-height:1.5em"><li>Hands-on expertise in medical imaging workflows and integration: DICOM/PACS, radiology pipelines, and integrating ML models into clinical systems.</li><li>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).</li><li>Hands-on experience deploying ML models to cloud platforms (AWS, GCP, or Azure) with containerized environments and ML-focused CI/CD pipelines.</li><li>Experience navigating healthcare data privacy and regulatory compliance (HIPAA, FDA considerations) in ML deployments.</li><li>Experience supporting regulatory submissions and clinical evaluation processes (e.g., preparing evidence for FDA 510(k) or De Novo pathways).</li><li>Strong customer-facing skills: ability to communicate with clinical and industry partners, own engagements end-to-end, and drive cross-functional projects to completion.</li><li>Willingness to travel to hospital sites and work on-site for customer deployments as needed.</li></ul><h3>Compensation & Benefits</h3><ul style="min-height:1.5em"><li>Base salary: $150,000 – $230,000 USD annually, depending on experience.</li><li>Early-stage equity opportunity as a founding team member.</li></ul><h3>Location</h3>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 <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>

Engineering

Founding Forward-Deployed ML Engineer

Related on GOH