About the job
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! We are seeking an experienced Applied Scientist passionate about understanding shopping journeys spanning across ad products and publishers.
Responsibilities
This role is focused on developing core models that will be the foundational to Full Funnel Campaigns. You will regularly engage with product managers and technical program managers, who will partner with you to productize your work.
Qualifications
Minimum
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.