ML Research Engineer – Scientist

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a2z Radiology AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

a2z Radiology AI is a medical imaging AI company that builds FDA-cleared software to triage urgent findings on CT scans. Their current commercial product is a single foundation model that analyzes abdomen-pelvis CT studies and concurrently detects and reprioritizes seven urgent conditions (free air, small bowel obstruction, hydronephrosis, AAA, cholecystitis, diverticulitis, pancreatitis) to surface critical studies at the top of the radiology worklist. The system has been validated across multiple clinical sites and CT vendors, integrates with existing workflow, offers pilots run on a customer’s historical studies, and is extending work into broader CT coverage and image-to-report research.

📋 Description

• Foundation models that read an entire CT study, not one slice at a time • Vision-language learning that ties what the model sees to the language radiologists actually write • One model that catches many urgent findings at once, calibrated to operate safely in front of a radiologist • Training and evaluation at a scale most researchers never get to touch • Research that ships: your models reach FDA submissions, hospital deployments, and patients

🎯 Requirements

• You reach for PyTorch the way most people reach for a notebook: custom architectures, training loops, distributed training • You understand why a loss or an architecture works, not just how to call it • You design and run your own experiments without waiting to be told • You care about rigor and reproducibility, because these models carry clinical weight • Helpful, not required • Medical imaging, 3D, or volumetric data • Vision-language models or self-supervised learning • DICOM, CT, or radiology background • A PhD or publications (a real plus, never a gate)

🏖️ Benefits

• Competitive base + equity