Founding Machine learning Engineer - Evaluation

Senior ML Engineer Medical Imaging Evaluation & AI Reliability

About the Role:

My client is building evaluation and evidence infrastructure for safety-critical AI systems, starting with diagnostic medical imaging.

AI systems are increasingly used in settings where their outputs affect clinical decisions and patient outcomes. In medical imaging, benchmark accuracy alone is not enough. Hospitals, regulators, and clinical stakeholders need evidence that models will behave reliably across real-world deployment environments, populations, scanners, and workflows.

This role sits at the intersection of:

• medical imaging AI,
• model robustness and evaluation,
• regulatory evidence generation,
• and real-world deployment behavior.

The work is highly investigative and requires strong technical judgment, scientific reasoning, and the ability to operate effe...

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