OUR INNOVATIONS

Explore how our scientists are re-defining the ad tech landscape

Innovating
at scale

At Amazon Ads, we’re excited by how we’re shaping the future of advertising through science and innovation. With access to trillions of customer signals, advanced tools, and scientific talent across our businesses, we are solving complex problems to improve the advertising experience for advertisers and customers alike.

In this chapter, you'll meet some of our scientists who discuss their research domains, published papers, and what makes Amazon Ads such a unique place to work – from the cutting-edge AI innovation to the scientific collaboration and community across the wider Amazon business.

Their work spans optimizing advertising campaigns through feedback control, protecting advertisers from robotic traffic, econometric theory in quantitative marketing, and customer journey analysis through multi-touch attribution.

Read on to learn more!

You can also explore our open roles →

Kelly Paulson, Senior Manager of Economists and Applied Scientists

Using algorithms
to spot learning opportunities across business units

Kelly Paulson, Senior Manager of Economists and Applied Scientists, joined Amazon Ads in 2013 after completing her PhD. In this article, Kelly talks us through her recent paper on how her team uses advanced algorithms to optimize ad budget allocation.

One thing I really like about Amazon is the ability I have to develop my ideas into programs or products. It's fun to see products that now have large teams working on them, and to know I was the one who put the business case forward and got the initial funding.

Read about Kelly's work →

Yudi Zhang, Applied Scientist in Sponsored Brands

Finding a more nuanced way to analyze the
customer journey

Yudi Zhang, Applied Scientist in our Sponsored Brands team, shares her research on multi-touch attribution and how her innovative model goes beyond traditional methods to capture the full complexity of customer behavior, allowing for more effective advertising strategies.

Amazon Ads gives me the flexibility to explore some innovative ideas and contributes a lot to the company's overall growth, which is exciting. I have access to a lot of very high-quality data sets, which is very valuable for building robust machine learning models.

Learn more about Yudi’s research →

Anand Muralidhar, Principal Scientist in Amazon DSP

How to detect robotic clicks on advertising

How can advertisers guard against sophisticated bots generating millions of fake clicks? Enter Anand Muralidhar, a Principal Scientist based in Bangalore, whose research has helped develop a real-time machine learning model that detects and eliminates robotic traffic. Anand shares his recent paper and explains how Amazon is pushing the boundaries of AI in advertising.

One of the wonderful things about working at Amazon Ads is the scale —you work with data at a scale that is quite unimaginable. We deal with billions of records in a day, and it becomes a huge amount of data over a month. There are very few systems that match up to Amazon Ads in this regard.

Discover more about Anand’s work →

Our latest ad tech innovations

Every year we unveil our products at the annual Amazon Ads unBoxed events, and showcase the latest ad tech innovations that will transform the advertising landscape.

Check out the product keynote presentation from our flagship unBoxed event in October 2024, where we announced a suite of products including the updated Amazon DSP experience, Amazon Marketing Cloud, multi touch attribution, and AI creative studio.