Amazon-posted about 15 hours ago
Full-time • Mid Level
Seattle, WA
5,001-10,000 employees

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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. About our team The ad serving team within Sponsored Products and Brands is responsible for powering a low latency, high scale ad serving workflow for two of Amazon's largest Advertising products - Sponsored Products and Sponsored Brands. The ad server orchestrates the workflows for the processing and rendering of product and brand ads on all of Amazon pages. A single second on the ad server can usually be attributed to processing 100s of million of ads, running greater than 20 machine learning models to determine relevance, conversion rates, etc per ad and processing tera bytes of cached data to serve these ads to the end customer. This team provides a true balance between platform scale and business requirements ensuring that every change made by a developer directly contributes to business growth. Our engineering team leverages advanced AI-powered development tools throughout our software lifecycle. We utilize Kiro, Cline and Amazon Q for intelligent code generation, significantly accelerating our development velocity while maintaining high code quality standards. Our developers also employ agentic AI tools and smart code analyzers that help identify potential performance bottlenecks and optimize critical ad serving pathways. Our team owns the platform and the data required to serve ads and use technologies like ECS, EC2, Lambda, SQS, ElasticCache, S3, Kafka etc to power the platform. State management with object modeling, GC tuning and memory optimizations is another key area of focus for the team to drive faster and more optimized ad search results. This important work requires that we build redundant, highly available systems that scale massively to ensure our advertisers can enhance discoverability for all the products they sell online and connect Amazon customers with sellers and selection anywhere in the world. We are increasingly focused on helping our advertisers reach new markets and build a strong brand presence which means we must think globally and be strategic about how we build our software to operate 24/7/365 in over 20 countries. We are looking for exceptional software engineers to build the next generation of tools these advertisers depend on to control their advertising efforts across multiple ad products in the Amazon Advertising portfolio. #GenAI

  • Drive end-to-end engineering projects that have a high degree of ambiguity, scale, complexity.
  • Build large scale solutions using latest Gen AI tools along with native integrations with LLMs
  • Run A/B experiments, gather data, and perform statistical analysis.
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
  • Recruit SDEs to the team and provide mentorship.
  • 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
  • Experience with AI/ML technologies
  • 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
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