[Hiring] Senior Machine Learning Data Scientist @Ōura

Role Description

We’re seeking a Senior Machine Learning Data Scientist to drive the development of next‑generation foundation models for wearable biosignals that power Oura’s health sensing features.

• 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.

Qualifications

• PhD with 3+ years of industry or postdoctoral experience, or MSc with 5+ 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.

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
• Paid sick leave and parental leave