Senior Machine Learning Data Scientist
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Job Description
Senior Machine Learning Data Scientist building foundation models from longitudinal wearable data at Ōura. Turning research advances into validated health insights and product experiences.
Responsibilities:
- 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
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