We transform cancer diagnostics with AI.
We’re using big data and deep learning to transform the way biopsies are being
interpreted, to help millions of people receive a rapid and accurate cancer diagnosis,
and to support personalized patient care through AI-based prognostic and predictive
We build a system that diagnoses cancer from microscopic tissue images.
In order to achieve that we develop Computer Vision algorithms (mainly Deep
Learning), all the way from research to python production code running on GPUs
servers in AWS.
On the way to reaching both fast run time and medical-grade accuracy, we tackle
challenges such as processing huge images (terabyte pixels per image),
combining information from several magnifications, variance between labs and
scanners, working with different types of stains and tissues, obtaining annotations via
Active Learning, and more.
We’re looking for an Algorithm Engineer to join our team. In this role, you’ll work on
huge, unique datasets of high-resolution pathology images from leading institutes
worldwide, develop and optimize algorithmic solutions for complex problems using
cutting-edge technology, integrate your algorithms into our products and receive
feedback from clinicians using them in live clinical settings, and work closely with our
multi-disciplinary team of Machine & Deep Learning experts, experienced software
developers and medical professionals.
Join us in making a difference; while working with a talented team, shaping both product
To apply for this job please visit ibex-ai.com.