Founding ML Engineer — Medical Imaging Deployments

Meyandy LLC; Sunnyvale, Northern (CA, KY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity opportunity

Founding team member

Job summary

Meyandy LLC in Sunnyvale, CA is seeking a Founding Forward-Deployed ML Engineer to bridge research, deployment, and clinical operations in healthtech imaging.

You will work on-site with hospital partners to evaluate and deploy models in clinical workflows, build evaluation pipelines, and support regulatory submissions while establishing MLOps practices. Travel to partner sites is required as needed.

Qualifications

• Hands-on ML/engineering experience in medical imaging workflows.
• Proficient in Python and ML frameworks; Docker/Kubernetes.
• Experience deploying ML models to cloud with CI/CD pipelines.
• Knowledge of HIPAA and FDA considerations in ML deployments.

Responsibilities

• 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 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.

Job description

Meyandy LLC in Sunnyvale, CA is seeking a Founding Forward-Deployed ML Engineer to bridge research, deployment, and clinical operations in healthtech imaging.

You will work on-site with hospital partners to evaluate and deploy models in clinical workflows, build evaluation pipelines, and support regulatory submissions while establishing MLOps practices. Travel to partner sites is required as needed.