Staff AI Scientist

ŌURA

Staff AI Scientist building personalized health intelligence for Oura Ring users. Owning LLM, recommendation, evaluation, and production ML systems for member health insights.

Posted 8/13/2026full-timeRemote • Alaska, Iowa, Mississippi, Montana, New York, South Dakota, Virginia, West Virginia, Wisconsin • 🇺🇸 United StatesLead💰 $199,000 - $267,950 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applied AI and backend engineering, with a strong focus on developing AI/LLM-backed products and designing effective evaluation frameworks. Proven ability to mentor teams, influence technical direction, and communicate complex concepts to diverse stakeholders.

Highest-signal resume keywords

Applied AI ExperienceBackend Engineering Best PracticesPython ProficiencyModel Serving and Pipeline ArchitectureExperiment Design and Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ResearchEvaluation WorkflowsRecommendation System DesignData AnalysisModeling User TrajectoriesCausal MethodsShadow TestingStaged RolloutsLLM-Powered Generation IntegrationProduction Experimentation Frameworks

Soft Skills

MentoringCross-Functional CollaborationCommunication of Complex Concepts

Tools & Technologies

Data ToolingExperimentation FrameworksDeployment Infrastructure

Certifications & Qualifications

Graduate Degree (MS or PhD) in Relevant Quantitative Field

Industry Keywords

Health IntelligencePersonalization TechnologyTechnical DirectionUser Behavior Modeling

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own end-to-end development of core intelligent capabilities, from scientific signal through product integration, launch, and iteration
Define improvements in personalization technology strategy and influence roadmap and technical direction across partner teams
Design measurement frameworks, lightweight offline evaluations, and shadow-mode testing infrastructure for rapid iteration
Support causal and counterfactual model development and design experiments measuring genuine effects on behavior and health
Mentor scientists and engineers and shape team norms around experimentation and evaluation
Collaborate with engineering, science, product, and design across the Health Intelligence team
Communicate trade-offs, uncertainty, and modeling assumptions to technical and non-technical stakeholders across the US and EU

Requirements

What you’ll need

8+ years of experience in applied AI, AI research, and backend engineering
Graduate degree (MS or PhD) in a relevant quantitative field is strongly preferred
Deep experience with AI/LLM-backed products, evaluation workflows, and production experimentation frameworks
Deep experience with backend engineering best practices and systems serving millions of users
Hands-on experience with retrieval, ranking, and recommendation system design
Experience with model serving, pipeline architecture, and deployment infrastructure
Experience integrating recommendation or retrieval signals with LLM-powered generation
Ability to design lightweight experiments and evaluations, including shadow testing and staged rollouts
Experience framing personalization problems, modeling user trajectories, and working with stateful or sequential data
Exposure to causal methods and experiment design
Evidence of influencing technical direction, mentoring, shaping team practices, or leading cross-functional scientific initiatives
Ability to explain complex systems, trade-offs, and uncertainty to technical and non-technical audiences
Strong proficiency in Python, including data analysis and modeling, and experience with modern data tooling

Benefits

Comp & perks

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