Careers
We hire people who want the whole problem.
The engineers who trained the diagnostic models also specified the hardware they run on. That is the job, and it does not suit everybody.
Machine learning
Clinical validation, model architecture, and the discipline of proving a result rather than reporting one.
Hardware and embedded
Board design, firmware and instrument integration, through to production.
Platform and cloud
Regulated, data-resident systems that have to stay up and have to be auditable.
Enterprise engineering
Large systems, long lifetimes, real estates with real constraints.
Clinical and regulatory
Study design, submissions and quality systems.
Open application
Tell us what you have built, and what you want to build next.
How we work
Small teams with the whole problem, rather than large teams each holding a slice of one. Engineers talk to clinicians and to customers directly. Work is judged on whether it holds up.
Where
Toronto and Hyderabad, with equal standing. Technologies are owned in both.