About the role

ML Research Engineer building advanced AI models that interpret entire CT studies for clinical use. Collaborating with leading researchers and radiologists in a fully remote role.

Responsibilities

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

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)