Drive foundation models for wearable biosignals, setting standards for reusable representations, tooling, and evaluation adopted across multiple health features.
Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.g., PPG, motion, temperature), including self‑supervised and multimodal pretraining; deliver adapters/probes for diverse downstream tasks.
Lead scientific publications from core modeling and validation work that advance understanding of human physiology and support Oura’s mission to improve health.
Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility.
Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members.
Requirements
PhD (ideally with industry internship experience), or MSc with 3+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field; healthcare or health‑tech experience preferred.
Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches.
Advanced proficiency in Python and modern ML frameworks (e.g., PyTorch or Jax), with experience building scalable training and evaluation pipelines.
Strong grounding in probability, statistics, and experimental design; proven ability to design rigorous evaluations and interpret results from large research or clinical datasets.
Excellent scientific writing with a record of first‑author, peer‑reviewed publications in top machine learning and digital health venues.
Collaborative, highly autonomous working style; comfortable operating in an interdisciplinary, globally distributed team and communicating effectively with cross-functional partners.
Flexibility for occasional meetings across European time zones and willingness to travel for onsite meetings a few times per year.
Tech Stack
Python
PyTorch
Benefits
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off