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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.
- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 149953379
Skills:
Coding Standards, build processes, source control management, livesite operations, engineering practices and patterns, code reviews, testing certification
Skills:
Software Development Lifecycle, Coding Standards, build processes, testing certification, livesite operations, code reviews, source control management, engineering practices and patterns
Skills:
Coding Standards, build processes, testing certification, livesite operations, code reviews, source control management, engineering team management
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