5 дней назад
Senior ML Algorithm Scientist (Wearable Health)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Algorithm Scientist (Wearable Health): Developing production-ready machine learning algorithms that transform multimodal wearable sensor data into reliable health metrics with an accent on biosignal processing, sensor fusion, and physiological modeling. Focus on designing robust time-series models, managing motion artifacts, validating prototype hardware, and integrating algorithms into consumer health products.
Location: Hybrid in London, England, UK. Travel to the US and Finland may be required.
Company
develops wearable health products that use the Oura Ring and connected app to provide insights into readiness, activity, sleep, and other health metrics.
What you will do
- Own the end-to-end machine learning and algorithm development pipeline, from signal processing through model training, evaluation, scaling, and deployment.
- Develop deep learning and classical signal-processing algorithms using multimodal sensor data to derive physiological health metrics.
- Design sensor-fusion methods for PPG, motion, temperature, and spectroscopy data while managing motion artifacts and other real-world noise.
- Use large-scale cloud datasets and prototype sensors to validate model performance and hardware behavior in real-world conditions.
- Collaborate with hardware, firmware, software, and data infrastructure teams to integrate algorithms within the physical constraints of the ring.
- Present technical findings to senior stakeholders and help shape research direction and product roadmaps.
Requirements
- 5–7+ years of experience in machine learning, biosignal processing, sensor fusion, and real-world multimodal time-series analysis.
- Strong Python skills and practical experience with PyTorch or TensorFlow, NumPy, SciPy, pandas, and matplotlib.
- Strong understanding of the physiology represented by sensor signals and the engineering ability to solve noisy, complex problems.
- Experience with scalable data systems and deploying machine learning models into production.
- Master’s or PhD in Computer Science, Machine Learning, Biomedical Engineering, Signal Processing, Applied Mathematics, or a related field, or equivalent practical experience.
- Ability to take accountability for algorithm development from feasibility testing through production integration.
Nice to have
- Experience with consumer health products, wearable sensors, smart rings, or digital health applications.
Culture & Benefits
- Flexible working hours and remote working arrangements within the hybrid role structure.
- Competitive salary.
- Personal Oura Ring and employee discounts for friends and family.
- Collaborative environment with passionate coworkers.
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