About the job
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Responsibilities
Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
Develop scalable and effective machine-learning models and optimization strategies to solve business problems
Run regular A/B experiments, gather data, and perform statistical analysis
Work closely with software engineers to deliver end-to-end solutions into production
Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving
Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products and Brands business
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.