Iterative Health is pioneering the use of artificial intelligence-based precision medicine in gastroenterology, with the aim of helping to optimize clinical trials investigating the treatment of IBD. We use advanced machine learning and computer vision to interpret endoscopic videos along with other types of data, helping clinicians better assess patients with potential GI problems. Ultimately, the company aims to establish more meaningful endpoints to serve as better predictors of both therapeutic response and disease outcomes.
Please note: This is not a currently open role. If you'd like to be contacted when Machine Learning Engineer roles open up, please apply!
The Machine Learning Engineer is a dynamic, fast-paced role that will require creative thinking and strong machine learning and software development fundamentals. The successful candidate will work collaboratively with a diverse team of engineers and scientists in addition to having a track record of developing machine learning and especially deep learning and computer vision models for solving challenging real-world scientific problems.
The core responsibilities of this role include designing and implementing advanced and scalable deep learning models on medical images and videos to detect, classify, segment, and register various conditions and objects given different spatial, temporal, and resolution constraints.
Some of our benefits include:
Vision/Dental/ Medical Insurance
Flexible Work Hours
Unlimited Paid Time Off
At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.