What is a Machine Learning Engineer at Whoop?
At Whoop, the Machine Learning Engineer role is at the intersection of human physiology, cutting-edge data science, and scalable engineering. You are not just building models; you are crafting the intelligence that helps members optimize their sleep, recovery, and daily strain. By working on the Foundation AI or Training teams, you are directly responsible for the algorithms that translate raw sensor data into actionable, life-changing health insights.
This role is critical because Whoop thrives on the accuracy and personalization of its metrics. You will face the unique challenge of modeling multimodal data—ranging from high-frequency heart rate variability (HRV) and skin temperature to self-reported behavioral inputs. The scale is massive, and the stakes are high: your work must be robust, privacy-preserving, and performant enough to run across a global member base, all while maintaining the scientific rigor required for clinical-grade health monitoring.
