Applied Scientist II, Personalization
Core
Build state-of-the-art LLM-based techniques and deep learned transformer-based models to understand customer intent and build large-scale real-time multi-task ranking systems for personalized shopping.
Role type
Applied Scientist II (Personalization)
Builds
Real-time ranking systems and customer-facing features for Amazon's shopping experience
Domain
E-commerce, Machine Learning, Large Language Models
Deliverable
production ML models | product features
Required skills
LLM-based techniques, transformer-based models, real-time ranking systems, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Develop state of the art LLM-based techniques to reason about customers and products; Develop deep learned transformer-based models to understand and abstract customer intent signals; Build large-scale real-time multi-task ranking systems; Propose and innovate on the science roadmap across multiple projects
Seniority
Mid-level, hands-on IC
