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ŌURA
ŌURA
201 – 500 Employees
ConsultingHealthcareManufacturing
ŌURA develops smart rings and health technology that turn everyday biometric data into practical wellness insights. Its Oura Ring monitors measures including sleep, heart rate, activity, and stress through a lightweight device designed for continuous wear. The company focuses on personal health monitoring across areas such as women’s health, heart health, and general wellbeing, combining healthcare-oriented data with consumer-friendly hardware and software. For job seekers, ŌURA sits at the intersection of healthcare technology and manufacturing, with work connected to the development of products that help people better understand their health.
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Senior Machine Learning Data Scientist (Remote, United States)

Lead foundation-model research using longitudinal wearable and physiological data at ŌURA. Translate advances in machine learning into validated health insights and member-facing products.

USUnited States
$147,900 – $203,000 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
PythonPyTorch

Description

  • Lead research directions for foundation models built from longitudinal wearable and physiological data
  • Convert open-ended research questions into testable hypotheses, novel modeling methods, datasets, and experimental infrastructure
  • Create rigorous evaluations that separate genuine model capabilities from effects caused by leakage, confounding, or weak benchmarks
  • Develop representation learning, forecasting, personalization, multimodal, and generative modeling methods across large longitudinal datasets
  • Move models from research findings through prototyping and validation into health experiences used by ŌURA members
  • Publish significant scientific findings when appropriate while preserving their product relevance
  • Work with scientists, clinicians, engineers, and product partners while independently advancing research through ambiguity

Requirements

  • At least five years of relevant machine learning research and applied experience, including work completed during doctoral research
  • A PhD or MSc in machine learning, computer science, statistics, electrical engineering, or a related quantitative discipline
  • Exceptional research judgment, demonstrated by identifying important questions, developing original hypotheses, and designing experiments that generate credible evidence
  • Deep expertise in foundation models, representation learning, large-scale training, and model evaluation
  • Proven ability to take ambiguous research problems from initial concept to a working system and clear scientific conclusion
  • Strong foundations in probability, statistics, experimental design, and robust evaluation, including confounding, leakage, and generalization
  • Advanced Python skills and proficiency with modern machine learning frameworks such as PyTorch or JAX
  • Experience building data, training, and evaluation systems
  • Strong first-author publication record in leading machine learning, time-series, digital health, or related peer-reviewed venues
  • Clear communication, intellectual honesty, and a collaborative working style
  • Preferred experience includes longitudinal time series, wearable sensors, physiological signals, real-world health data, multimodal learning, generative modeling, forecasting, personalization, efficient or on-device models, machine learning systems, clinical research, causal inference, and converting research advances into prototype or production capabilities

Benefits

  • Competitive salary and equity compensation
  • Health, dental, and vision insurance, along with mental health resources
  • An ŌURA Ring for personal use and employee discounts for friends and family
  • Twenty days of paid time off, 13 paid holidays, and eight flexible wellness days
  • Paid sick leave and parental leave

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