Software Development Engineer with Machine Learning

Amazon Advertising, one of Amazon's fastest-growing and most profitable divisions, is seeking a Machine Learning Engineer to join their Actions, Insights, and Recommendation Solutions (AIRS) team. This role combines software development and machine learning expertise to build scalable advertising solutions. You'll work on developing ML-powered recommendation systems that help advertisers optimize their campaigns on Amazon's platform.

The position offers an opportunity to work with big data and advanced ML models while solving real business problems. You'll be responsible for the full ML lifecycle, from data pipeline development to model deployment and monitoring. The team focuses on improving advertiser understanding through ML modeling and building services that deliver actionable recommendations with clear explainability.

This is a high-visibility role within a strategic business unit, offering excellent growth opportunities. You'll work in a collaborative, fast-paced environment with direct impact on Amazon's advertising business. The compensation is competitive, ranging from $129,300 to $223,600 based on location, plus additional benefits including equity and comprehensive healthcare.

The ideal candidate will have strong software engineering fundamentals combined with machine learning expertise. You'll need experience with large-scale systems, AWS ML tools like SageMaker, and a track record of delivering end-to-end ML solutions. This role offers the chance to shape the future of advertising technology while working with a talented team in a dynamic, fast-growing space.