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Marketing & Communications, Software Engineering
Seattle, WA, USA
Amazon continues to grow its Advertising business to support the expanding online advertising market. The Supply Technology organization develops and maintains software solutions that assist our supply-side partners in optimizing monetization and improving user experiences. Our technology emphasizes flexibility, scalability, and compatibility with internal and external advertising platforms.
The Supply Technology Sciences team enables data-driven decision-making through real-time data processing, analytics tools, and practical insights. Our software supports yield optimization, dynamic pricing, and performance analytics to help supply-side partners improve revenue. We deliver software products and infrastructure designed for managing large-scale data, analytics, and machine learning tasks.
In this role, you will develop and maintain scalable software solutions supporting data pipelines, analytical tools, and machine learning infrastructure. You will collaborate with scientists, analysts, and product managers to deliver production-grade software. Ideal candidates have strong technical skills, experience in building reliable software, and can effectively operate in a 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 and analysts 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.
- Continuously enhance the scalability, automation, and efficiency of large-scale data analytics and machine learning processes.