Ōura
StaffAIScientist
“Staff AI Scientist at Ōura. Skills: Personalization, Recommendation systems, LLM integration. Define personalization tech strategy. Set research and modeling agenda”
Industry & Context.
Causal reasoning; Counterfactual reasoning
What They're Looking For.
Must Have
8+ years of experience in applied machine learning or AI research, Graduate degree (MS or PhD) in Computer Science, Statistics, or related quantitative field, Hands-on experience across retrieval, ranking, and recommendation system design, Track record of shipping 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
Nice to Have
PhD preferred
What You'll Do.
Define personalization tech strategy
Set research and modeling agenda
Identify where classical approaches are foundation
Identify where newer methods add value
Influence roadmap and technical direction
Own user representation and retrieval
Build and maintain user state representations
Design retrieval systems
Architect personalization serving interface
Define how personalization signals are passed
Develop grounding and constraints
Drive evaluation rigor
Design measurement frameworks
Build lightweight offline evals
Build shadow-mode testing infrastructure
Establish rubrics and tooling
Apply causal reasoning to understand what works
Own causal and counterfactual reasoning
Design and analyze experiments
Grow people around you
Provide technical mentorship
Help define what good looks like
Collaborate with engineering
Communicate trade-offs
and modeling assumptions
How You'll Work.
Team & Collaboration
Partner with engineering, science, product, and design; Communicate to technical and non-technical stakeholders
Communication Scope
Communicate trade-offs; Communicate uncertainty; Communicate modeling assumptions
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