What is a Machine Learning Engineer at Oura?
A Machine Learning Engineer at Oura sits at the intersection of cutting-edge hardware, biomedical science, and large-scale data processing. You will build and scale the intelligent algorithms that power the Oura Ring, a revolutionary wearable device that tracks sleep, activity, readiness, and overall physiological health. Your primary objective is to transform noisy, continuous streams of raw sensor data into highly accurate, personalized, and actionable health insights for millions of users worldwide.
Unlike traditional software engineering roles, your work will directly influence user well-being and clinical-grade health tracking. You will tackle complex problems such as sleep stage classification, stress detection, cardiovascular health assessment, and activity recognition. This requires a deep understanding of time-series analysis, signal processing, and how to deploy robust machine learning models that can run efficiently on either the companion mobile application or cloud infrastructure.
As a Machine Learning Engineer, you will collaborate closely with cross-functional teams, including hardware engineers, firmware developers, product managers, and health researchers. You will play a vital role in translating scientific discoveries into production-ready software features. If you are passionate about digital health and want to build models that have a tangible impact on human lives, this role offers an exceptionally rewarding and technically stimulating environment.



