We’re looking for a hands-on builder who has developed, iterated, and optimized machine-learning models for real-world signals — someone who thrives where algorithms meet real users and who’s excited to drive camera-based blood-pressure estimation in digital health.
Do you want to apply your expertise in ML and signal processing to shape a technology that will impact millions of people? Then we’re excited to meet you!