Staff AI Scientist (AI)

TL;DR

Staff AI Scientist (AI): Integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data with an accent on building a next-generation AI-powered personalization platform. Focus on ensuring the GenAI layer serves the model's intent rather than overriding it, and building lightweight offline evals and shadow-mode testing infrastructure that let the team iterate quickly.

Location: Must be able to work onsite in our San Francisco office 2-3 days per week.

Salary: $233,000 - $267,000

Company

Oura's mission is to empower every person to own their inner potential by providing daily insights and practical steps to inspire healthy lifestyles.

What you will do

• Define the personalization tech strategy and influence roadmap and technical direction across partner teams.
• Build and maintain rich, longitudinal user state representations that span physiology, behavior, goals, preferences, and context.
• Define how personalization signals from the retrieval and ranking engine are passed to and preserved by the LLM serving layer.
• Design measurement frameworks that assess the full chain: retrieval quality, ranking calibration, and whether the GenAI serving layer preserved intent and personalization signal.
• Own the causal and counterfactual reasoning necessary to distinguish personalization effects from confounding.
• Mentor and raise the bar by providing technical mentorship to scientists and engineers.

Requirements

• 8+ years of experience in applied machine learning or AI research, with a demonstrated expertise in recommendation systems, personalization, or retrieval.
• Hands-on experience across retrieval, ranking, and recommendation system design and a track record of shipping these into real production systems in a robust experimentation framework.
• Comfort working closely with server and app engineers on model serving, pipeline architecture, and deployment infrastructure.
• Practical experience integrating recommendation or retrieval signals with LLM-powered generation.
• Demonstrated ability to design lightweight experiments and evaluations that generate signal quickly.
• Solid exposure to causal methods and experiment design.
• Strong ability to explain complex systems, trade-offs, and uncertainty to both technical and non-technical audiences.
• Strong proficiency in Python, including data analysis and modeling.

Nice to have

• Experience designing personalization specifically for consumer behavior change or health outcomes.
• Familiarity with health, wearables, or digital therapeutics domains, and genuine interest in how personalization compounds over a member's lifetime.
• Deep experience with AI / LLM-backed products and evaluation workflows.
• Comfort working outside “core” hours across time zones with distributed, cross-functional teams.

Culture & Benefits

• 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.