Applied Scientist I, Sponsored Products and Brands Agent

Amazon Amazon · Big Tech · NY +1 · Applied Science

The role focuses on building a personalized and context-aware agentic advertiser guidance system that integrates LLMs with tooling across various Amazon Ads platforms. The goal is to provide strategic product guidance and granular optimization through agent architectures, tool integration, and model customization.

What you'd actually do

  1. Build a highly personalized and context-aware agentic advertiser guidance system that seamlessly integrates Large Language Models (LLMs) with sophisticated tooling, operating across all experiences.
  2. Interface with advertisers across Ads Console, Selling Partner portals (Seller Central, KDP, Vendor Central), and internal Sales systems.
  3. Identify high-impact opportunities spanning from strategic product guidance to granular optimization.
  4. Deliver personalized, scalable experiences grounded in state-of-the-art agent architectures, reasoning frameworks, sophisticated tool integration, and model customization approaches including fine-tuning, MCP, and preference optimization.

Skills

Required

  • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice to have

  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • agentic advertiser guidance system
  • integrates Large Language Models (LLMs) with sophisticated tooling
  • operating across all experiences
  • state-of-the-art agent architectures
  • sophisticated tool integration
  • model customization approaches including fine-tuning

Other signals

  • building agentic systems
  • integrating LLMs with tooling
  • operating across multiple platforms
  • delivering personalized experiences
  • shaping the future of e-commerce advertising