Software Development Engineer , Amazon Core Search

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

Software Development Engineer to work on improving Amazon Search using LLMs, NLP, ML, and DL technology. The role involves developing high throughput and low latency solutions for query-product matching at scale, with a focus on building products with LLMs/NLP/ML/DL at their core.

What you'd actually do

  1. work on improving Amazon Search using LLMs, NLP, ML, and DL technology
  2. develop high throughput and low latency solutions
  3. learn about high performance DL solutions should be built to serve the huge scale of queries that Amazon search sees world-wide
  4. help tackle a variety of technical challenges
  5. work on building products with Large Language Models/NLP/ML/DL at its core

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • large scale Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Deep Learning (DL)
  • Large Language Models

What the JD emphasized

  • high throughput and low latency solutions
  • few milliseconds
  • millions of queries every day
  • high performance DL solutions
  • huge scale of queries

Other signals

  • improving Amazon Search using LLMs, NLP, ML, and DL technology
  • develop high throughput and low latency solutions
  • matching of Query and Product task with multiple attributes in a few milliseconds
  • high performance DL solutions should be built to serve the huge scale of queries that Amazon search sees world-wide
  • building products with Large Language Models/NLP/ML/DL at its core