Applied Scientist Ii, 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 using LLMs and sophisticated tooling for Amazon Ads. It involves integrating LLMs with tools, operating across various advertiser-facing platforms, and delivering solutions through advanced agent architectures 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. Identify high-impact opportunities spanning from strategic product guidance to granular optimization and deliver them through 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.
  3. Shape the future of e-commerce advertising through advanced AI technology at unprecedented scale, creating solutions that directly impact millions of advertisers.

Skills

Required

  • Java
  • C++
  • Python
  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • building models for business application experience
  • agentic advertiser guidance system
  • Large Language Models (LLMs)
  • sophisticated tooling
  • agent architectures
  • tool integration
  • model customization

Other signals

  • Generative AI
  • LLMs
  • Agentic systems
  • Personalization
  • Tool integration