ML Research Engineer / Scientist (Boston, hybrid)

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.

• 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