DESCRIPTION

Amazon is investing heavily in building world-class brand shopping experiences to define and deliver a collection of brand shopping products that drive long-term customer value. In particular, Amazon Sponsored Brands (SB) owns a mid-funnel ad product dedicated for brand owners and brand shoppers. We empower brands of all shapes and sizes to attract shoppers in the research and consideration phases of their shopping journey, through visually stunning, inspiring and relevant sponsored shopping experiences. In doing so, we deliver billions of ad impressions and millions of clicks daily, but are only just getting started.

SB Auction team is intended to manage the shopper-Amazon-advertiser tradeoffs at a per-impression level. After ads are sourced, prediction on CTR, VTR, CVR, and relevance score are made, we conduct 3 stages of auction optimization, namely Ranking, Allocation and Pricing.

As a SDE in team, you will drive the scientific and engineering strategy to innovate and build scalable solutions that improve auction design and efficiency. Your work will directly contribute to aligning advertiser needs with customer interests, ensuring that our auction systems maximize relevance and value for all stakeholders. You will contribute to the technical direction of our offerings and solutions, working with many different technologies across the performance advertising organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions. What you create is also what you own.