Medical AI Researcher

About The Role We are a venture-backed, early-stage healthtech startup focused on independent, rigorous evaluation of medical imaging AI systems — bridging the gap between benchmark performance and real-world clinical reliability. We work with medical imaging companies preparing FDA submissions, providing the evidence infrastructure they need to make confident go/no-go decisions throughout the product lifecycle. As a Medical AI Researcher , you will own customer engagements end-to-end — from defining evaluation questions to delivering defensible evidence for regulatory and internal audiences. You'll combine strong ML skills with customer-facing judgment to deeply understand model behavior, generalization, and uncertainty in clinical workflows. Note: Visa sponsorship is not available for this role. What You'll 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 We're Looking For Required: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience. Hands-on expertise with medical imaging workflows and integration (DICOM/PACS, radiology pipelines) and integrating ML models into clinical systems. Several years of experience (1–7 years) in ML evaluation or medical imaging AI. Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow). Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, Docker, and Kubernetes. Nice to Have: Prior healthcare industry experience. Familiarity with regulatory considerations for medical AI, including FDA submission pathways such as 510(k) or De Novo. Experience communicating technical findings to non-technical or regulatory stakeholders. Compensation & Benefits Salary: $150,000 – $230,000 per year, depending on experience. Equity participation in a fast-growing, venture-backed startup. High-impact, highly visible role at a small, mission-driven team. Location This is a full-time, on-site role based in San Francisco, CA . Remote work is not available for this position.