** This position is open to candidates in Seattle, New York and Palo Alto.
Amazon Ads Sponsored Products Off-Search team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning (ML) Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale ML systems.
Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a Senior Applied Scientist to grow the business. We are working on state-of-the-art ML models and advanced ML infra (real-time and offline) to connect shoppers with right ads on Amazon's off-search (Detail Pages, Homepage, etc.) and stores-in-store (such as Amazon Haul) surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.
Key job responsibilities
As a Machine Learning Applied Scientist, you will:
* 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 business
