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.

Qualifications:

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.

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

Oura

Oura's mission is to empower every person to own their inner potential. They provide insights and practical steps to inspire healthy lifestyles through their Oura Ring and app. Oura is a quickly growing company focused on helping people live healthier and happier lives, ensuring that their team members have what they need to do their best work both in and out of the office.

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