Clarium builds computer vision pipelines that extract structured data from clinical images under real-world conditions — variable lighting, uncontrolled image quality, and zero tolerance for silent errors. This role owns those pipelines end-to-end: improving accuracy, hardening reliability, and extending them to new use cases. The work sits at the intersection of AI API orchestration, image processing, and production Python backend engineering. You'll be building systems that combine frontier multimodal AI APIs with deterministic decoders to produce auditable, accurate results that clinical workflows depend on. This is not a research role — the systems you build have direct patient safety implications, and getting it right matters. One important note on scope: this role does not involve training or fine-tuning models, MLOps infrastructure, or classical ML experimentation. If your background is in building production systems that orchestrate AI APIs and extract structured data reliably — rather than training the models themselves — this is a strong fit.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed