Medical AI Researcher

Tessel conducts rigorous, independent evaluations of medical imaging AI systems, bridging the gap between benchmark performance and clinical reliability. As a Medical AI Researcher, you’ll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end—from defining evaluation questions to delivering evidence that informs go/no-go decisions. You’ll combine practical ML skills with customer-facing judgment to understand model behavior, generalization, and uncertainty in real-world workflows.

What youll do

• Lead end-to-end customer engagements: run meetings, define evaluation questions, and scope investigations.
• Design and execute investigations that characterize model behavior, generalization, failure modes, and remaining uncertainty.
• Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence.
• Deliver clear, defensible reports and presentations for regulatory and internal audiences under tight timelines.
• Collaborate with customers and cross-functional teams to inform go/no-go decisions and drive impact on product strategy.

What Tessel AI: Rigorous Medical Imaging AI Evaluation for Hospitals is looking for

• Strong CS fundamentals; degree in Computer Science, Engineering, Math, or related field (or equivalent practical experience).
• Several years of experience in ML evaluation or medical imaging AI, with practical MLOps and model evaluation skills. Proficiency in Python and common ML frameworks, plus Docker and Kubernetes.
• Hands-on expertise with medical imaging workflows and integration (DICOM/PACS, radiology pipelines) and integrating ML models into clinical systems; healthcare industry experience preferred.
• Familiarity with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo) is a plus.