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# Founding Forward-Deployed ML Engineer

- **Company:** CLERA, LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Dicom, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Model Validation, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** May 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f39acd6750b71dae

## About the Role

Do you have experience in Model evaluation?, * 2+ years of Machine Learning or ML Engineering experience.

 * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
 * Practical MLOps and model evaluation skills: reproducible pipelines, model validation/monitoring, and fluency 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.
 * Hands-on expertise in medical imaging workflows and integration (DICOM/PACS, radiology 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., 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.

## Description

Join an early-stage healthtech company building rigorous, independent evaluation and validation infrastructure for 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 bridge benchmark performance and real-world clinical reliability. This is a high-impact, customer-facing role that shapes how AI is trusted and adopted in patient care., * Build reproducible evaluation pipelines and validation workflows for medical imaging AI in clinical settings.

 * Lead forward-deployed engagements, working on-site with hospital partners to integrate AI models into clinical workflows.
 * Analyze model generalization, failure modes, and uncertainty to support 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 to completion.
 * Support regulatory submissions and clinical evaluations (FDA 510(k), De Novo pathways) and maintain related documentation.
 * Ensure data privacy and regulatory compliance (HIPAA) across all ML deployments.
 * Establish and maintain MLOps practices for deployment, monitoring, and evaluation using Python, PyTorch/TensorFlow, Docker, and Kubernetes.


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