Senior Machine Learning Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $147.9k - $203k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 4%

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ŌURA

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

Healthcare • Manufacturing • Consulting

ŌURA is a company that produces smart rings designed to provide in-depth health metrics and insights. The Oura Ring tracks a variety of health-related data such as sleep patterns, heart rate, activity levels, and stress. It aims to help users live healthier and more productive lives through accurate biometrics tracked via a comfortable ring worn all day and night. With features that benefit women's health, heart health, and overall wellness, ŌURA rings are marketed as both technologically advanced and user-friendly devices for personal health monitoring.

📋 Description

• Shape and lead ambitious research directions for foundation models of longitudinal wearable and physiological data • Turn open-ended questions into testable hypotheses, develop new modeling approaches, and build datasets and experimental infrastructure • Establish rigorous evaluation methods that distinguish meaningful model capabilities from results driven by leakage, confounding, or fragile benchmarks • Advance representation learning, forecasting, personalization, multimodal modeling, and generative modeling across large longitudinal datasets • Drive model capabilities from research result to prototype, validation, and shipped health experiences for Ōura members • Share scientifically important advances through publication when warranted while maintaining product impact • Collaborate with scientists, clinicians, engineers, and product partners while independently driving work through ambiguity

🎯 Requirements

• 5+ years of relevant machine learning research and applied experience, including experience gained during doctoral research • PhD or MSc in machine learning, computer science, statistics, electrical engineering, or a related quantitative field • Exceptional research judgment and a track record of identifying important questions, forming original hypotheses, and designing experiments that produce credible evidence • Deep technical expertise in modern foundation models, representation learning, large-scale training, and model evaluation • Demonstrated autonomy in taking ambiguous research problems from initial idea to a working system and clear scientific result • Strong grounding in probability, statistics, experimental design, and robust evaluation, including reasoning about confounding, leakage, and generalization • Advanced proficiency in Python and modern ML frameworks such as PyTorch or JAX • Ability to build data, training, and evaluation systems • Strong record of first-author, peer-reviewed publications in leading machine learning, time-series, digital health, or related venues • Clear communication, intellectual honesty, and collaborative approach • Nice to have: experience with longitudinal time-series, wearable sensors, physiological signals, real-world health data, multimodal learning, generative modeling, forecasting, personalization, efficient or on-device models, ML systems, clinical research, causal inference, and translating research advances into prototypes or production capabilities

🏖️ Benefits

• Competitive salary and equity packages • Health, dental, vision insurance, and mental health resources • An Ōura 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