Machine Learning Data Scientist

Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and activity using the Oura Ring and connected app. By providing daily feedback and practical steps to inspire healthy lifestyles, we've helped hundreds of thousands of people improve their sleep, understand their bodies, and transform their health. We’re on a mission to empower every person to own their inner potential, and we’re seeking candidates who want to make an impact on our journey.

For us, empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we work to promote work-life balance and ensure that our team members have what they need to do their best work — both in and out of the office.

We are looking for a Machine Learning Data Scientist to join our Science team. Our team is passionate about building algorithms, deriving novel biomarkers, and conducting validation studies in order to provide users with new insights into their health. We are dedicated to ensuring that the physiologic information Oura provides is both accurate and actionable. The ideal candidate will ensure the excellence of our data science products.

You will:

• Contribute to the research, development and deployment of signal processing and/or machine learning algorithms for Oura features/products
• Contribute to the development and deployment of reusable data science tools at scale
• Conduct validation studies to benchmark and improve the accuracy of Oura’s biomarkers and algorithms
• Coordinate with cross-functional teams and overseas stakeholders
• Provide scientific content in support of data stories that help users understand the rigor of the data science underlying Oura’s approach
• If remote, attend occasional on-site meetings in SF several times a year as needed

Oura is not your typical web app. We are working on interesting technical challenges such as:

• Partnership: We work with a wide range of established institutions to get high-quality labeled data for all kinds of physiological signals and information.
• Distributed systems: Multiple data producers, apps with offline support and real-time sync
• Modern cloud architecture: AWS + Containers + Managed services
• Large scale data: Oura customers generate terabytes of data
• Applied ML: Great data for building production machine learning systems
• Security: We handle sensitive user data, where security is not an afterthought
• Embedded / Bluetooth / C++ / low level programming
• A continuously growing user base of highly active and passionate users