ML Research Engineer / Scientist (Remote, international)
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About the role
Worldwide remote, full-time ML research role building CT foundation models and vision-language systems for clinical radiology. Requires strong PyTorch, independent experimentation, and rigorous, reproducible research. Medical imaging experience, DICOM knowledge, a PhD and publications are helpful, not required. Compensation depends on the local market; international offers do not include equity.
Key requirements
- • A PhD or publications (a real plus, never a gate)
- • Required skills: PyTorch, Custom model architectures and training loops, Distributed training, Understanding model losses and architectures, Independent experimental design and execution, Research rigor and reproducibility
Opportunity details
- • Workplace: Remote
- • Employment: Other
- • Posted: Jun 25, 2026
- • Original advert language: English
Full vacancy
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Employer’s role description
Build the model that reads the whole scan.
For over a decade, radiology AI has meant narrow tools that flag one finding and stop. We think that is a dead end. We are building the model that reads a CT the way a radiologist does: the whole study, drafted into the report. Your job is to make that model better, faster than anyone expects.
This is research with a short line to patients. The models you train go through FDA clearance and deploy into live hospital reading rooms. The experiment you run this month can change how real studies get read next quarter.
What you'll work on
- 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