Want to work on building a Amazon Ads billion dollar business, innovate across our entire system using applied mathematics/machine learning, and have a positive impact on millions of views while working with industry-leading technologies? We're growing an team to support the ADSP business that powers the advertising experience for millions of viewers and advertisers daily.

Amazon is investing heavily in building a world-class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and are constantly challenging ourselves to create world-class products and an unparalleled shopping experience for our hundreds of millions of customers worldwide.

Key job responsibilities
You will join a team with a mandate to experiment and innovate across all systems in Advertising, both near and far. You will contribute across the full experimentation lifecycle, from simulation, experimentation and ultimately production. You will have an opportunity to grow and broaden your technical and scientific skills as you work in an environment that thrives on creativity, experimentation, and collaboration.

Contribute to the technical direction of various systems and initiatives throughout Amazon Ads org.

Work with many different technologies teams across Amazon Ads org.

Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.

Design and build innovative solutions in a large distributed computing environment and help lead fundamental changes in the industry.

Design, code and troubleshoot scalable online serving systems.

About the team
The Demand Tech Systems and Control Tiger Team is a specialized unit that tackles high-impact, complex technical challenges across Amazon's advertising systems. We focus on building and optimizing ML systems, feedback controllers, and mathematical models to enhance bidding strategies, budget allocation, and campaign performance at scale. We are looking for a pioneering and collaborative Engineer to help us bring our ideas into production.