Machine Learning Data Scientist (AI)

TL;DR

Machine Learning Data Scientist (AI): Driving the development of next-generation Large Physiology Models and other foundation models for wearable biosignals that power Oura’s health sensing features with an accent on designing and validating deep learning approaches for large‑scale wearable time‑series. Focus on translating evidence into shipped features and scientific publications to improve outcomes for Oura members and advance the state-of-the-art of physiological modeling from real‑world wearable data.

Location: Remote (New York, New York), preference for candidates based on the East coast. We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

Salary: Region 1 $151,300 - $178,000 Region 2 $138,550 - $163,000 Region 3 $127,500 - $150,000

Company

Oura's mission is to empower every person to own their inner potential through their Oura Ring and its connected app, helping millions understand and improve their health.

What you will do

• 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.
• 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.

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.
• Flexibility for occasional meetings across European time zones and willingness to travel for onsite meetings a few times per year.

Culture & 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.