DESCRIPTION

Amazon 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. 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. The SP organization'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. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Our team, Off-Search Sourcing and Relevance, has a mission to deliver relevant and useful shopping experience at non-Search pages at Amazon.com. We innovate technology solutions, develop cutting-edge machine learning models that incorporate deep product and shopper understanding, and conduct A/B tests to ensure that we identify all useful and relevant advertisements and provide them to downstream systems for click through prediction and ad auction.

We looking for a Software Engineer with Machine Learning knowledge. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will work with Product Managers and Scientists to solve complex problems at Amazon-scale, bringing your engineering skills together to launch solutions that will have direct customer impact.

Key job responsibilities
- Designing, coding, troubleshooting, and supporting data pipelines and online ad serving systems. Continuously work to understand our customers and our business
- Architect and design ad serving systems that solve real-world customer use cases
- Integrate your solutions with high volume and low latency distributed systems
- Measure the impact and customer response to your solutions through rapid experimentation