Applied Scientist, Sponsored Products and Brands

Amazon is a technology and e-commerce company with an Applied Science team focused on advertising innovation through generative AI and machine learning. The Applied Scientist will develop scalable machine learning and GenAI models, derive shopper insights, deploy real-time solutions, conduct A/B experiments, and research advanced generative AI techniques for Sponsored Products and Brands.

Responsibilities:

• Leverage Generative AI and Large Language Models (LLMs) to mine complex behavioral data, deriving deep, actionable shopper insights that identify customer experience gaps and unlock new business opportunities
• Design and develop scalable machine learning and GenAI models focused on shopper intent and preference modeling, ensuring a rapid path from prototype to production
• Partner closely with engineering teams to architect and deploy end-to-end GenAI solutions into production, integrating advanced insights directly into real-time, customer-facing systems
• Drive the scalability, efficiency, and automation of large-scale model training and real-time inference systems, pioneering the LLM infrastructure required to support next-generation GenAI workloads at Amazon Ads scale
• Design and run rigorous A/B experiments to quantify the business and customer impact of GenAI-driven shopper insights, performing advanced statistical analysis to guide iterative production rollouts
• Conduct applied research in novel generative AI techniques (e.g., fine-tuning, RAG, agentic workflows) to optimize the shopper experience and drive performance across all aspects of the Sponsored Products and Brands business