Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction (Advertising
Listed on 2026-08-07
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Business & Operations
Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction
Job : | Services LLC
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 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.
Amazon Ads Response Prediction 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 Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high‑scale machine‑learning 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 talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real‑time machine learning services to connect shoppers with the right ads on all platforms and 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 help Amazon continuously innovate on behalf of all customers.
Key Responsibilities- Conduct deep data analysis to derive insights for 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.
We are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products and Brands business. We empower every customer with a customized discovery experience from back‑end optimization (such as customized response prediction models) to front‑end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.
Basic Qualifications- 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.
- 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.
Amazon is an equal opportunity…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).