Applied Scientist I, Search Relevance International

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Software Development

Applied Scientist role focused on building and deploying machine learning models for Amazon's Product Search, with an emphasis on developing new ranking features, ensuring low-latency predictions, and scaling systems to handle billions of search requests. The role involves full development cycle ownership, from design and implementation to A/B testing and production deployment, leveraging academic research and contributing to the search experience in new and existing markets.

What you'd actually do

  1. Build machine learning models for Product Search.
  2. Develop new ranking features and techniques building upon the latest results from the academic research community.
  3. Propose and validate hypothesis to direct our business and product road map.
  4. Work with engineers to make low latency model predictions and scale the throughput of the system.
  5. Focus on identifying and solving customer problems with simple and elegant solutions.

Skills

Required

  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice to have

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

What the JD emphasized

  • low latency model predictions
  • scale the throughput of the system
  • production level code that serves billions of search requests

Other signals

  • Develop new ranking features and techniques building upon the latest results from the academic research community.
  • Design, develop, and implement production level code that serves billions of search requests.
  • Work with engineers to make low latency model predictions and scale the throughput of the system.