Description

Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces.

Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience.

Key job responsibilities
* Define a long-term engineering vision for a TQ sub-program driven fundamentally from the needs of our customers and internal stakeholders, translating that direction into specific plans for the team. Interpret complex and interrelated data points and anecdotes to build and communicate this vision to stakeholders and the team.
* Oversee the design, development, and implementation of production level code that handles billions of ad requests. Own the full development cycle: idea, design, prototype, impact assessment, A/B testing (including interpretation of results) and production deployment.
* Collaborate with scientists, product managers and related teams in Amazon Advertising to find technical solutions to complex IVT detection problems.
* Collaborate with industry bodies and 3P vendors to build on existing partnerships.
* Improve upon existing systems to achieve efficiency in the operation load and footprint.
* Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles. Coach team members to help them achieve their potential. Hire bar raising talent as the team expands.