Drimva

Amazon

Applied Scientist, Shopping Convo Foundations - Pre-purchases Science, Shopping Convo Foundations - Pre-purchases Science

$143K–$222K

Seattle, WA +1 · Full-time · Posted Jul 6, 2026

Location
Seattle, WA
Santa Clara, CA
Experience
3+ years building models for business application; PhD, or Master’s degree and 4+ years of CS, CE, ML, or related field experience.
Education
PhD, or Master’s degree and 4+ years of CS, CE, ML, or related field experience.

About the job

Researches and develops machine learning solutions to expand Amazon’s product catalogue and improve product-attribute coverage and precision, then helps deploy them at scale.

What you'll do

  • Develop novel ML approaches and state-of-the-art models for catalogue expansion and product-attribute challenges.
  • Conduct experiments and translate scientific findings into production-ready solutions.
  • Collaborate with ML and software engineers to optimize performance, scalability, and low-latency deployment.

What they ask for

  • 3+ years of building models for business application experience.
  • PhD, or Master’s degree and 4+ years of experience in CS, CE, ML, or a related field.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Programming experience in Java, C++, Python, or a related language; and experience in at least one listed area: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Nice to have

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

Pay

USD 171,600.00 - 222,200.00 annually (base salary); USD 142,800.00 - 193,200.00 annually (base salary)

Tools

Java, C++, Python, Unix/Linux

AI focus

Develops and applies AI/ML models for product-catalogue expansion and attribute challenges, with emphasis on precision and scalable deployment.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)