Senior ML Engineer, Biosignal & Health Modeling - Remote

Overview

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 2.5 million 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. 

In Short

• Develop advanced signal processing and physiological inference algorithms to extract physiological metrics from multimodal, time-series biosignals (PPG, motion, temperature, spectroscopy, etc.).
• Design, prototype, and refine methods that transform noisy, artifact-prone time-series data into reliable health metrics, balancing physiological accuracy and computational efficiency.
• Lead the end-to-end algorithm development cycle: from signal cleaning and feature extraction to modeling and validation while integrating code blocks into internal research pipelines and prototype environments, with a path toward production scalability.
• Work closely with hardware, firmware, and sensor teams to understand the physical signal path and improve the end-to-end sensing system.
• Explore the interplay between signal processing and machine learning to advance hybrid models for health sensing.
• Contribute to strategic roadmap planning for sensing innovation at Oura through data-driven insight and physiological domain expertise.

Requirements

• Bring 5+ years of experience in biosignal processing, with a strong focus on PPG, spectroscopy, or other physiological signals.
• Have a proven track record of applying signal processing techniques to real-world, noisy datasets—especially in wearable or remote monitoring environments.
• Possess strong coding skills in Python and experience with scientific computing libraries (e.g., NumPy, SciPy, pandas, matplotlib).
• Have an advanced degree (PhD or Master’s) in Biomedical Engineering, Electrical Engineering, Signal Processing, or a related field—or equivalent practical experience.
• Are familiar with techniques to manage motion artifacts, low SNR, and physiological variability in wearable signal streams.
• Understand the physiological systems underlying your signals and bring engineering intuition to metric development.
• Communicate clearly across disciplines and enjoy working with cross-functional teams on complex biosignal challenges.

Benefits

• Competitive salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• An Oura ring of your own
• Wellness Time Off
• Personal learning & development program