Senior Computer Vision Engineer
Scanwell Health makes healthcare more accessible through smartphone-enabled, at-home diagnostics. Scanwell's innovative approach lets people test from anywhere, skip the waiting room and get same-day results. By quickly diagnosing acute illnesses, chronic diseases, and rare conditions, Scanwell accelerates the path to treatment. Our first product is the only FDA-cleared over-the-counter app that provides testing and treatment for urinary tract infections (UTIs).
Skills: C++, OpenCV, Computer Vision
Scanwell is a pioneer in instant, at-home lab testing. We were the first to receive FDA clearance for a home urine test to diagnose urinary tract infections. Since then we’ve developed tests for chronic kidney disease, malaria, and now, COVID-19. Scanwell provides clinical-grade testing, instant results, and professional guidance for comprehensive healthcare from the safety of people’s homes.
We are a hybrid-remote team headquartered in Los Angeles, with outposts in Orange County and San Francisco. Occasional in-person meetings may be required.
Requirements Experience with C++ and OpenCV 5+ years of experience with image processing and computer vision Efficient and scalable algorithm design and problem-solving skills Excellent communication and critical thinking skills; ability to prototype quickly
Nice to have Demonstrated ability in technical research Experience with medical devices Experience building Android or iOS apps Experience with RAW image processing and camera sensor data Experience with Python
Scanwell Health is building software that turns your smartphone into a medical testing lab. The core of our business is developing custom computer vision algorithms using OpenCV to make scanning your medical test as easy as taking a picture. Our backend application is built with Rails and hosted on Aptible. We leverage GCP offerings such as Colab, Firestore, and Cloud Functions for internal research, and we want to expand this into a world-class research platform one day.