Signal Processing Engineer II

WHOOP is on a mission to unlock human performance by empowering members to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Signal Processing Engineer II at WHOOP, you'll be part of a cross-functional team working on core, fundamental features. Your role will involve solving complex technical problems related to obtaining physiological information from noisy sensor data and enhancing diagnostic tools and control methodologies.

You'll collaborate closely with Data Science and Research teams to develop innovative algorithms, monitor their performance across a diverse user population, and validate wearable technology in clinical settings. Your responsibilities will include software development, debugging, and validation, as well as contributing to ongoing research efforts to improve product performance.

This role requires expertise in signal processing, time-series analysis, and machine learning, with a focus on biosensor systems and biomedical data analysis. You'll create and implement mathematical models and algorithms for processing big data and extracting valuable insights.

WHOOP offers an exciting opportunity to push the boundaries of wearable technology and positively impact people's lives. The ideal candidate will have a strong background in applied mathematics, statistics, or engineering, with experience in signal processing and machine learning. Proficiency in C and/or Python, knowledge of adaptive signal processing, and familiarity with machine learning libraries are essential.

Join WHOOP in Boston, MA, and be part of a team that values innovation, adaptability, and the ability to tackle complex challenges in the field of wearable technology and human performance optimization.