Applied Scientist, Sponsored Products and Brands
Core
Design and deploy generative AI and large language model solutions to mine shopper behavioral data, model intent and preferences, and optimize the advertising experience for customers and advertisers.
Role type
Applied Scientist (Generative AI / Large Language Models)
Builds
Scalable GenAI models, real-time inference systems, and production ML services for Sponsored Products and Brands
Domain
E-commerce advertising, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Generative AI, Large Language Models (LLMs), machine learning, 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
Design and develop scalable ML and GenAI models for shopper intent and preference modeling; partner with engineering to architect and deploy end-to-end GenAI solutions into production; drive scalability and automation of large-scale model training and real-time inference systems; design and run rigorous A/B experiments to quantify business impact; conduct applied research in novel generative AI techniques (fine-tuning, RAG, agentic workflows)
Seniority
Mid-Senior, hands-on IC