Software Development Engineer - Machine Learning, Ad Response Prediction

Amazon is seeking a Software Development Engineer in Machine Learning to join their rapidly growing advertising business. This role is part of the Sponsored Products team, one of Amazon's fastest-growing areas, where you'll work on sophisticated machine learning systems that power advertising solutions across one of the world's largest product catalogs.

The position offers a unique opportunity to work at the intersection of e-commerce, advertising, and machine learning. You'll be responsible for developing and optimizing machine learning pipelines and serving systems that match shoppers with advertised products, operating under strict latency constraints and high relevance requirements. Collaboration with Machine Learning and NLP research scientists is a key aspect of the role, working together to develop novel solutions for ad relevancy.

The team operates with an entrepreneurial spirit, embracing innovation and experimentation. You'll have the chance to make significant technical decisions that shape the future of Amazon's advertising platform. The role involves end-to-end ownership of products and features, from design through launch, working closely with product managers, scientists, and other engineers.

The technical challenges are substantial, dealing with billions of ad impressions and millions of clicks daily. You'll be working with cutting-edge machine learning technologies and contributing to systems that directly impact Amazon's retail and marketplace businesses. The role requires strong analytical skills, technical leadership, and the ability to thrive in ambiguous problem spaces.

The position offers competitive compensation ranging from $129,300 to $223,600 per year, depending on location, plus additional benefits including equity and sign-on payments. You'll be joining a collaborative, fun-loving team that values continuous innovation and customer obsession. This is an excellent opportunity for someone who wants to make a significant impact at scale while working with advanced machine learning technologies in a fast-paced, growing business segment.