Principal Applied Scientist, Personalization
Core
Architecting next-generation LLM-based reasoning systems and real-time multi-objective ranking systems to personalize shopping experiences for hundreds of millions of customers at Amazon's scale.
Role type
Principal Applied Scientist (Personalization & Recommendations)
Builds
Foundational AI/ML technology for customer intent modeling and product discovery
Domain
E-commerce, Large Language Models, Real-time Decision Systems
Deliverable
production ML models
Required skills
LLM-based reasoning, transformer architecture design, multi-objective ranking systems, machine learning engineering at scale, Python/Java/C++ programming, mentoring technical teams, translating ambiguous customer requirements into problem definitions
Preferred skills
Novel algorithm development, top-tier conference publications (NeurIPS, ICML, etc.), strategic thinking, bridging research with engineering implementation, technical leadership in ambiguous environments
Technologies
LLMs, Transformers, Python, Java, C++