Software Development Engineer, Amazon Ads

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer role focused on applying Generative AI and LLMs to enhance Amazon Ads, improving ad retrieval, allocation, and recommendations for a personalized shopping experience. The role involves building large-scale distributed systems and data pipelines, collaborating with scientists and product managers, and driving operational excellence.

What you'd actually do

  1. Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.
  2. Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.
  3. Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.
  4. Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.
  5. Write high-quality, maintainable code and participate in design and code reviews.

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
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Experience programming with at least one software programming language
  • Bachelor's degree in computer science or equivalent

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
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing
  • Experience integrating GenAI tools, evaluating and refining GenAI outputs, and applying responsible AI practices to augment productivity and quality

What the JD emphasized

  • large-scale distributed systems
  • GenAI
  • LLMs
  • personalized ad and shopping experiences
  • customer-focused solutions
  • massive scale and impact

Other signals

  • Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.
  • Apply frontier AI to solve real-world problems at massive scale and impact.