Applied Scientist, Sponsored Products Off-Search Auction
Core
Design and develop Generative AI, deep learning, and multi-objective optimization solutions to transform ad retrieval, auctions, and whole-page relevance for personalized shopping experiences.
Role type
Senior Applied Scientist (Generative AI & Ads Optimization)
Builds
Production-ready GenAI models for ad allocation, retrieval, and relevance on Amazon.com
Domain
E-commerce advertising, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Generative AI, Large Language Models, deep learning, multi-objective optimization, reinforcement learning, probabilistic modeling, Java, C++, Python, model deployment
Preferred skills
Foundation models, fine-tuning, multi-modal modeling, few-shot learning, retrieval-augmented generation, RLHF, online experimentation, auction theory, ad economics
Technologies
GenAI, LLMs, Java, C++, Python
Responsibilities
Design GenAI solutions for ad retrieval and auctions; Collaborate with engineers and product managers to deploy scalable science solutions; Stay abreast of industry trends in GenAI and LLMs; Enhance team scientific rigor with best-in-class algorithms; Mentor junior scientists and engineers
Seniority
Senior, hands-on IC