Amazon Sr Applied Scientist Sponsored Products Brands 

United States, New York, New York 

76658863

Key job responsibilities
• Collaborate with business, engineering and science leaders to establish science optimization and monetization roadmap for Amazon Retail Ad Service
• Drive alignment across organizations for science, engineering and product strategy to achieve business goals
• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon advertisers and third party retailers
• Develop state of the art experimental approaches and ML models to keep up with our growing needs and diverse set of customers.
• Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.
Our problem space is challenging and exciting in terms of different traffic patterns, varying product catalogs based on retailer industry and their shopper behaviors.

- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Master's degree, or a PhD and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

- 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.
- Experience in auctions or mechanism design
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability