Applied Scientist, Amazon Core Search

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Applied Science

Applied Scientist role focused on improving Amazon's global search experience using NLP, ML, and DL. The role involves developing high-precision, high-recall, low-latency solutions for query understanding, semantic matching, and ranking, with a focus on scalability and production deployment across all Amazon locales and languages.

What you'd actually do

  1. improve the shopping experience for customers globally
  2. understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products
  3. improve search on Amazon using NLP, ML, and DL technology
  4. develop high precision, high recall, and low latency solutions for search
  5. develop scalable science and engineering solutions that work successfully in production

Skills

Required

  • Java, C++, Python or related language
  • SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Master's degree

Nice to have

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

What the JD emphasized

  • high precision, high recall, and low latency solutions
  • scalable science and engineering solutions that work successfully in production

Other signals

  • improving search on Amazon using NLP, ML, and DL technology
  • develop high precision, high recall, and low latency solutions for search
  • develop scalable science and engineering solutions that work successfully in production