Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
As a Machine Learning Engineer on the Sponsored Products Auction and Bid Optimization team, you'd work with Product Managers, Economists and Applied Scientists to design and build mechanisms to optimize how the auction makes trade-offs between publisher, advertiser and shopper concerns. You’ll build technical solutions to solve complex business optimization problems. How do we get click and impression data into our systems in real-time to dynamically adapt which ads we show? How do we model and translate seemingly intangible concepts like relevance into economic terms? How do we solve the NP-complete problem of picking thousands of ads to slot in dozens of possible places on the page and do this billions of times a day within a few milliseconds?
We are a highly motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. This is an opportunity to make a significant impact on the future of the Amazon vision.
A successful candidate will be highly analytical and self-driven. They will be able to handle a high degree of ambiguity. They can identify problems, design and implement solutions and monitor and maintain them.