Principal Applied Scientist, Sponsored Products and Brands

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

This role focuses on designing and developing generative AI solutions, specifically large language models and multimodal AI, for real-time ad allocation and ranking in a high-volume consumer advertising system. It involves research into semantic relationships, dynamic optimization, and integration into existing systems, with a strong emphasis on efficiency and strict latency requirements.

What you'd actually do

  1. Design and develop novel generative AI architectures for real-time ad allocation, focusing on both efficiency and effectiveness at massive scale
  2. Lead research initiatives in applying large language models and multimodal AI to understand deep semantic relationships between ads, queries, and user behavior
  3. Create innovative approaches to leverage GenAI for dynamic ad placement optimization while maintaining strict latency requirements
  4. Collaborate with cross-functional teams to integrate GenAI solutions into existing advertising systems
  5. Author research papers and technical documentation, contributing to the broader scientific community

Skills

Required

  • PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study
  • 8+ years of experience applying ML to solve complex problems for large-scale applications

Nice to have

  • Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Demonstrated leadership abilities, especially with cross-disciplinary efforts
  • Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives
  • Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications
  • Deep business and technical vision
  • Prior experience in online advertising or search ranking

What the JD emphasized

  • generative AI
  • large language models
  • multimodal AI
  • real-time ad allocation
  • massive scale
  • latency requirements

Other signals

  • generative AI
  • large language models
  • multimodal AI
  • real-time ad allocation
  • massive scale
  • latency requirements