Founding AI Evidence Engineer

About this role

Join a founding team building evidence infrastructure for safety-critical AI in healthcare. You'll work directly with medical imaging companies on FDA submissions and real-world model validation, translating customer needs into rigorous investigations and turning one-off analyses into scalable product workflows.

What you'll do

• Partner with medical imaging vendors on FDA 510(k) and De Novo submission evidence packages
• Design and execute structured investigations to uncover failure modes, edge cases, and distribution drift in AI models
• Produce evidence artifacts supporting regulatory decisions, development roadmaps, and hospital governance conversations
• Convert recurring investigation patterns into reusable evaluation frameworks and automated pipelines
• Manage rapid one- to two-week investigation cycles end-to-end with clear communication of findings
• Shape team processes, standards, and hiring as the company scales

What they're looking for

• Machine learning empiricism and failure analysis
• Distribution shift and uncertainty quantification
• Python (data wrangling to production-ready analysis)
• Model evaluation and validation frameworks
• Infrastructure and pipeline development
• Medical imaging data (DICOM, radiology modalities)
• FDA regulatory pathways and compliance frameworks
• AI safety and algorithmic auditing

Benefits

• Meaningful equity as a founding team member
• Visa sponsorship available
• High-impact work on safety-critical AI in regulated healthcare
• Direct customer and regulatory engagement
• Rapid skill development in emerging compliance space
• On-site collaboration in San Francisco