At a glance
- Experience
- 5-7 years experience
- Location
- London
About the role
- Oura is seeking a Senior ML Algorithm Scientist to join the 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 into reliable, scalable, and productizable health metrics.
Responsibilities
- 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 alongside classical signal processing to derive meaningful health insights across diverse populations.
- Design robust methods for fusing time-series data from multiple sensors 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.
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, practical experience with tools like PyTorch or TensorFlow, and scientific computing libraries (NumPy, SciPy, pandas, matplotlib).
- A strong understanding of the physiology underlying the signals, combined with engineering intuition to solve complex, noisy problems.
- Familiarity with scalable data systems and a track record of getting ML models out of the lab and into production.
- An advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Biomedical Engineering, Signal Processing, Applied Math, or a related field (or equivalent practical experience).
- Comfortable navigating uncertainty and fast-paced iteration, taking complete accountability for the algorithm journey from early feasibility testing to production-ready integration.
Preferred qualifications
- Direct experience working with consumer health products, wearable sensors, smart rings, or digital health applications.
Benefits
- Competitive salary
- An Oura Ring of your own
- Employee discounts for friends & family
- Flexible working hours and remote working arrangements
- Amazing culture of collaborative and passionate coworkers
Skills
- Python
- PyTorch
- TensorFlow
- NumPy
- SciPy
- Pandas
- Matplotlib
- Machine Learning
- Signal Processing
- Sensor Fusion
