Senior Machine Learning Data Scientist

ŌURA

. Shape and lead ambitious research directions for foundation models of longitudinal wearable and physiological data .

Posted 9/21/2026full-timeRemote • United StatesSenior💰 $147,900 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning research, particularly in foundation models and representation learning, with a strong ability to translate complex research into practical health applications. Proven track record in experimental design, model evaluation, and collaboration across interdisciplinary teams.

Highest-signal resume keywords

Machine Learning ResearchFoundation ModelsRepresentation LearningPython ProficiencyExperimental Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel EvaluationStatistical AnalysisData Systems DevelopmentGenerative ModelingMultimodal LearningForecastingPersonalizationCausal InferenceLongitudinal Data Analysis

Soft Skills

Clear CommunicationIntellectual HonestyCollaborative Approach

Tools & Technologies

PyTorchJAX

Certifications & Qualifications

PhD in Machine LearningMSc in Computer Science

Industry Keywords

Wearable SensorsPhysiological SignalsDigital HealthClinical ResearchReal-World Health Data

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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