Senior Machine Learning Data Scientist (AI)

TL;DR

Senior Machine Learning Data Scientist (AI): Drive the development of next-generation foundation models for wearable biosignals, designing and validating deep learning approaches for large-scale wearable time-series. Focus on scientific publications, building scalable data generation, training, and inference pipelines, and translating research into production features.

Location: Remote in the US, with a strong preference for candidates based on the East coast. Must not reside in Alaska, Delaware, Iowa, Mississippi, Missouri, Nebraska, South Dakota, West Virginia, or Wisconsin. Flexibility for occasional meetings across European time zones is required.

Salary: $172,550 - $203,000

Company

Oura is a fast-growing company focused on empowering people to improve their health through an award-winning Oura Ring and connected app, providing daily insights and practical steps for healthy lifestyles.

What you will do

• Drive foundation models for wearable biosignals, setting standards for reusable representations and evaluation 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 to advance understanding of human physiology.
• Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility.
• Lead collaborations with cross-functional teams to translate research advances into production features.

Requirements

• PhD with 3+ years of industry/postdoctoral experience or MSc with 5+ years of industry experience in machine learning, computer science, statistics, electrical engineering, or a related field.
• Demonstrated success developing deep learning models for large-scale time-series or sensor data, ideally physiological or wearable signals.
• 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.
• 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.
• English: B2 required.

Nice to have

• Healthcare or health-tech industry experience.

Culture & Benefits

• Competitive salary and equity packages.
• Health, dental, vision insurance, and mental health resources.
• An Oura Ring plus employee discounts for friends & family.
• 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.
• Paid sick leave and parental leave.