Define the technical direction for personalization at Oura, building a next-generation AI-powered personalization platform at the intersection of classical recommendation systems and modern AI
Job Summary
Define the technical direction for personalization at Oura, building a next-generation AI-powered personalization platform at the intersection of classical recommendation systems and modern AI.
Architect a modern personalization serving interface, defining how personalization signals are passed to and preserved by the LLM serving layer, ensuring GenAI serves as a personalization-aware delivery mechanism.
As a Staff scientist, you are expected to grow the people around you by providing technical mentorship to scientists and engineers, shaping team norms around experimentation and evaluation.
Matching Summary
Define the technical direction for personalization at Oura, building a next-generation AI-powered personalization platform at the intersection of classical recommendation systems and modern AI.
Skills & Requirements
Must-have
recommendation systems
personalization
retrieval systems
LLM integration
production systems
experimentation framework
Nice-to-have
consumer behavior change
health outcomes
wearables domain
AI/LLM-backed products
distributed teams
Key Requirements
8+ years applied ML/AI research
MS or PhD preferred
Hands-on retrieval, ranking, recommendation systems