Applied Scientist, Selling Partner Trust and Store Integrity Science

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

The Applied Scientist will leverage LLMs and generative AI to build automated solutions for seller verification, transaction monitoring, and risk assessment in Amazon's marketplace. The role involves designing, developing, and deploying end-to-end ML solutions to detect and prevent abuse patterns, requiring innovation with the latest GenAI technology and adaptation to evolving threats.

What you'd actually do

  1. Innovate with the latest GenAI technology to build highly automated solutions for efficient seller verification, transaction monitoring, and risk assessment
  2. Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace
  3. Learn, explore and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners
  4. Collaborate with cross-functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats

Skills

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • advanced AI solutions
  • large language models and other generative AI technologies
  • machine learning solutions
  • machine learning advancements

Other signals

  • Leveraging large language models and other generative AI technologies
  • Enhance decision-making processes
  • Automate complex risk assessment tasks
  • Improve operational efficiency