Amazon Advertising is looking for highly skilled and experienced software engineers to drive the development of next-generation solutions that enable advertisers to reach customers across our owned and operated sites, as well as other high-quality publisher sites on the web, and on millions of desktops, mobile devices, and connected TV platforms. Our mission is to offer the world's most customer-centric advertising solutions, leveraging our unique datasets, AI/ML technologies, and AWS infrastructure.
Amazon's DemandTech Platform is the company's programmatic advertising product, supporting campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, Prime Video, Freevee, Twitch, and Amazon Music) and tens of thousands of third-party websites and applications. We are seeking candidates who wish to join a team focused on building large-scale systems that integrate data from multiple sources to provide unique and impactful advertising products.
Amazon Demand Tech is seeking an experienced Software Engineer to enhance our deep learning modeling capabilities to drive performance for advertisers. In this role, you will be responsible for building and scaling AI/ML solutions for real-time bidding systems that demand high availability and low latency. You will work closely with applied scientists and engineers to develop and maintain scalable software solutions that support large-scale deep learning models in ad serving systems. These systems leverage vast volumes of advertising data for state-of-the-art model training. You’ll also contribute to the long-term architectural vision and collaborate with product managers to deliver production-grade solutions. Ideal candidates will have strong technical expertise, a proven track record of building reliable software, and the ability to thrive in a fast-paced, dynamic environment.
Key job responsibilities
- Design and develop scalable software systems and data infrastructure to address business challenges.
- Implement efficient and robust services to support ML model training, and deployment.
- Collaborate with scientists to operationalize machine learning models and integrate them into production systems.
- Conduct thorough code reviews, ensuring reliability, efficiency, and maintainability of solutions.
- Develop and run regular A/B testing infrastructure, ensuring accuracy and scalability in experiments.
