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.

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