Senior Machine Learning Data Scientist

Responsibilities:

• 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, 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 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.

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