Principal Applied Scientist
Core
Technical lead for AI-powered relevance, shopping, recommendation, and agentic commerce initiatives across Copilot, Shopping, and Ads experiences.
Role type
Principal Applied Scientist (AI/ML)
Builds
Scalable, reliable, and cost-efficient AI systems for user intent understanding, product understanding, content relevance, and advertiser matching.
Domain
E-commerce, Advertising, Search, Recommendation Systems
Deliverable
production ML models
Required skills
LLMs, SLMs, multimodal AI, retrieval systems, recommendation systems, foundation models, deep learning, transformers, distributed training optimization, technical leadership, cross-organizational initiative management, research-to-production translation, mentoring
Preferred skills
Experience with agentic systems, conversational AI, AI-powered assistants, marketplace ecosystems, GPU cluster inference optimization
Technologies
LLMs, SLMs, transformers, GPU clusters
Responsibilities
Define and execute the science roadmap for user intent and product understanding; Lead end-to-end ML development including model architecture, training data strategy, evaluation, and production deployment; Partner with engineering and product teams to deliver scalable AI systems; Shape the technical vision for future agent experiences and conversational shopping; Mentor scientists and engineers while raising the technical bar.
Seniority
Principal, hands-on IC with mentorship
