"Using Voice to Save Lives", Cardiokol enabling mass prevention of strokes and chronic complications over time in at-risk populations using voice-based markers for telemonitoring & screening. We offer revolutionary affordable, scalable, long-term and age-friendly monitoring solutions. Our technology is applicable for mass at-risk populations including older adults (65+), by utilizing proprietary technology that is implemented in speech platforms such as landlines, smartphones, smart speakers and voice assistants. Cardiokol long-term strategic offering is a novel platform and a suite of solutions which allow for the first-time wide scale prevention of multiple conditions, starting with Afib including prevention of acute and chronic dire complications (stroke, cardiac and kidney failure and more), at a later stage, Arrhythmias, Heart diseases and Acute Chronic disease.
The speech algorithms team develops the core vocal bio-markers technology for our monitoring platform. The team responsibilities include voice feature analysis algorithms for monitoring and mass screening at scale for chronic medical conditions utilizing voice signal processing and AI (deep learning – DNN).
You will work as an algorithm developer in the team. The position is very hands-on and requires developing an in-depth understanding of the challenges within the voice platform, crafting creative solutions and implementing them. The work involves tight collaboration with the clinical and product teams.
Electrical or bio-medicine engineering/Computer science/Mathematics/physics
Background in one or more of the following: