Software Development Engineer , Adaptive Search Relevance
Amazon · Seattle, Washington, USA ·
- Category
- Software engineering
Build the multi-agent orchestration platform that autonomously executes ML research workflows — from hypothesis generation through production deployment — accelerating how we deliver relevant sponsored products to hundreds of millions of Amazon shoppers. You'll work at the intersection of Generative AI, large-scale ML infrastructure, and search relevance at massive scale.
The Sponsored Products Search Relevance (SPSR) team helps shoppers easily find and discover the most relevant sponsored products while improving advertisers' ability to reach the right shoppers in the right context. We develop capabilities to understand shopper queries, shopping missions, and product attributes to identify contextually relevant ASINs — and we make CX/UX improvements so shoppers can perceive why products are relevant and efficiently navigate Amazon's vast selection. This is AI-first engineering: you'll build the systems that dramatically increase scientist throughput and ship relevance improvements to production at scale.
Key job responsibilities
- Build and scale a multi-agent orchestration platform that autonomously executes research workflows — from hypothesis generation and experiment design through training, evaluation, and production deployment — with fault tolerance, cost controls, and security compliance
- Develop AI-first Auto Research systems that parallelize hypothesis testing across compute, incorporating tournament-based proposal filtering and human-in-the-loop review to dramatically increase scientist throughput
- Own platform reliability and developer experience, including multi-tenant GPU scheduling, observability, eval frameworks, and knowledge services — ensuring agents and scientists operate on a stable, extensible foundation
- Productionize LLM/VLM models with a focus on efficiency, throughput, and low-latency serving
- Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs
- Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer-perceived relevance
About the team
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.
The Sponsored Products Search Relevance (SPSR) team helps shoppers easily find and discover the most relevant sponsored products while improving advertisers' ability to reach the right shoppers in the right context. We develop capabilities to understand shopper queries, shopping missions, and product attributes to identify contextually relevant ASINs — and we make CX/UX improvements so shoppers can perceive why products are relevant and efficiently navigate Amazon's vast selection. This is AI-first engineering: you'll build the systems that dramatically increase scientist throughput and ship relevance improvements to production at scale.
Key job responsibilities
- Build and scale a multi-agent orchestration platform that autonomously executes research workflows — from hypothesis generation and experiment design through training, evaluation, and production deployment — with fault tolerance, cost controls, and security compliance
- Develop AI-first Auto Research systems that parallelize hypothesis testing across compute, incorporating tournament-based proposal filtering and human-in-the-loop review to dramatically increase scientist throughput
- Own platform reliability and developer experience, including multi-tenant GPU scheduling, observability, eval frameworks, and knowledge services — ensuring agents and scientists operate on a stable, extensible foundation
- Productionize LLM/VLM models with a focus on efficiency, throughput, and low-latency serving
- Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs
- Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer-perceived relevance
About the team
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.