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Oura is seeking a Senior ML Algorithm Scientist to join the Future Physiology team. This is a hands-on, high-impact role focused on advancing next-generation health features by transforming noisy, multimodal biosignal data from wearable sensors into reliable, scalable health metrics used by millions.
You will own the complete ML and algorithm development pipeline, from signal processing through model training, evaluation, and production deployment. Key responsibilities include:
• Developing and deploying advanced ML algorithms using deep learning architectures (Transformers, RNNs, probabilistic models) combined with classical signal processing to extract meaningful health insights across diverse populations.
• Designing robust sensor fusion methods to integrate time-series data from multiple sources (PPG, motion, temperature, spectroscopy) while managing real-world challenges like motion artifacts.
• Leveraging Oura's large-scale cloud datasets to refine models while working hands-on with prototype sensors and evaluation kits to validate hardware performance in real-world conditions.
• Collaborating directly with hardware, firmware, software, and data infrastructure teams to align on feature goals, ensure technical feasibility within the ring's physical constraints, and integrate algorithms smoothly into production.
• Translating complex technical results into clear narratives for senior stakeholders to guide research direction and roadmap alignment.
The role is based in London with potential travel to the US and Finland.
REQUIREMENTS:
• 5–7+ years of experience in machine learning, biosignal processing, sensor fusion, and analyzing real-world multimodal time-series data.
• Deep proficiency in Python with practical experience in PyTorch or TensorFlow; strong command of scientific computing libraries (NumPy, SciPy, pandas, matplotlib).
• Strong understanding of the physiology underlying biosignals, combined with engineering intuition to solve complex, noisy problems.
• Familiarity with scalable data systems and proven track record of moving ML models from research to production.
• Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Biomedical Engineering, Signal Processing, Applied Math, or related field (or equivalent practical experience).
• Comfort navigating uncertainty and fast-paced iteration, with complete accountability for the algorithm journey from feasibility testing through production integration.
Nice to have: Direct experience with consumer health products, wearable sensors, smart rings, or digital health applications.
