About the job
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Responsibilities
Design, develop, and operate large-scale distributed systems for Sponsored Brands Impressions-based Offerings.
Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized advertiser and shopper experiences.
Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.
Write high-quality, maintainable code and participate in design and code reviews.
Drive operational excellence through monitoring, automation, and continuous improvement.
Qualifications
Minimum
3+ years of non-internship professional software development experience
2+ years of non-intternship 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
Preferred
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience integrating GenAI tools, evaluating and refining GenAI outputs, and applying responsible AI practices to augment productivity and quality