ML Algorithm Scientist

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

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 ensure that our team members have what they need to do their best work — both in and out of the office. 

We are seeking a Senior ML Algorithm Scientist to join our Future Physiology team. This is a high-impact opportunity for a deeply technical, hands-on expert who thrives in fusing physiology, machine learning, and real-world biosignal R&D. You will play a pivotal role in advancing Oura’s next generation of features, turning noisy, multimodal data from sensors (like PPG, motion, and temperature) into reliable, scalable, and productizable health metrics that reach millions of users.

What You Will Do:

• Take responsibility for the entire ML and algorithm development pipeline, from signal processing to training, evaluating, and scaling robust models.
• Develop and deploy advanced ML algorithms leveraging deep learning architectures (e.g., Transformers, RNNs, probabilistic models) alongside classical signal processing to derive meaningful health insights across diverse populations.
• Design robust methods for fusing time-series data from multiple sensors (e.g., PPG, motion, temperature, spectroscopy) to extract reliable physiological metrics while managing everyday issues like motion artifacts.
• Leverage Oura’s large-scale cloud datasets to refine models, while also working hands-on with prototype sensors and evaluation kits to see how new hardware performs in the real world.
• Work directly with hardware, firmware, software, and data infrastructure teams to align on feature goals, ensure technical feasibility within the ring's physical limits, and smoothly integrate algorithms.
• Translate complex technical concepts and your technical results into clear narratives for senior stakeholders, helping to guide our future research direction and roadmap alignment.

This is a role in London, UK. Travelling to US and Finland might be required.

What you'll bring:

• 5–7+ years of experience in machine learning, biosignal processing, sensor fusion, and analyzing real-world, multimodal time-series data.