![]() ![]() We are looking for an Applied Scientist, with a background in Machine Learning to optimize serving ads on billions of product pages. ![]() This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. This also enables sellers on Amazon to showcase their products to customers, which may at times be buried deeper in the search results. We strive to understand our customers’ intent and identify relevant ads which enable them to discover new and alternate products. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! Does serving ads to billions of search requests daily and finding the most relevant ads for a search page from billions of ads in 10s of milliseconds excite you? The Sponsored Products Search Sourcing team owns finding the appropriate ads to surface to customers when they search for products on Amazon. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. ![]() The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization.Īmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Some exciting questions that we expect to answer over the next few years include: Can combining supervised multi-task training with unsupervised training help us to improve model accuracy? Can we transfer our knowledge of the customer to every language and every locale ? Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs? This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. Amazon is the 4th most popular site in the US. ![]()
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