WHOOP is revolutionizing human performance through their advanced wearable technology platform that collects rich physiological data to provide actionable insights into recovery, training, and sleep. As a Senior Sensor Algorithms Engineer, you'll be at the forefront of developing cutting-edge algorithms that transform raw sensor data into meaningful physiological insights. Working with a cross-functional team of data scientists, engineers, and physiologists, you'll design and implement innovative signal processing and machine learning solutions.
The role combines expertise in signal processing, machine learning, and physiological modeling to enhance WHOOP's analytics capabilities. You'll be responsible for developing and optimizing algorithms, analyzing large-scale wearable sensor datasets, and implementing scalable solutions for both real-time and offline processing. The position requires strong technical skills in Python and C/C++, experience with machine learning frameworks, and a deep understanding of physiological signal processing.
This is an opportunity to directly impact people's lives by advancing wearable technology capabilities. The role is based in Boston, MA, and offers the chance to work with state-of-the-art technology in a collaborative environment. WHOOP values diversity and encourages applications from candidates who might not meet every qualification but demonstrate strong potential and character.
The ideal candidate will have 5+ years of experience in algorithm development, an advanced degree in a relevant field, and a passion for pushing the boundaries of what's possible in wearable technology. You'll be joining a mission-driven company that's committed to unlocking human performance through innovative technology and data-driven insights.