Senior Machine Learning Data Scientist

Ōura • New York, NY

3h • Remote

About The Position

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.
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. You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. You’ll partner with cross‑functional teams to translate evidence into shipped features and scientific publications. Your work will improve outcomes for Oura members and advance the state-of-the-art of physiological modeling from real‑world wearable data.
This is a remote US role with a strong preference for candidates based on the East coast (especially in New York).
We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

Requirements

• 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.

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 (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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees