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, which is one of Amazon's fastest-growing areas. You'll work on systems and algorithms that operate on one of the world's largest product catalogs, matching shoppers with advertised products while maintaining high relevance and strict latency requirements.

The position offers an exciting opportunity to work with Machine Learning and NLP research scientists to develop novel solutions for delivering highly relevant ads. You'll be responsible for driving technical direction, implementing scalable machine-learning pipelines, and optimizing model performance. The role combines hands-on development with technical leadership, requiring both deep technical expertise and strong collaboration skills.

As part of this role, you'll own significant products and features from design through launch, working in a fast-paced, innovative environment. The team operates with a startup mentality while leveraging Amazon's vast resources and scale. You'll be tackling significant business and technical challenges, with the opportunity to make a substantial impact on Amazon's advertising vision.

The ideal candidate is highly analytical, team-focused, and comfortable with ambiguity. You'll need to balance technical excellence with business needs, while maintaining Amazon's high standards for operational excellence. The role offers excellent growth opportunities, competitive compensation, and the chance to work on systems that impact hundreds of millions of customers worldwide.

Working at Amazon's advertising division means joining a team that's responsible for billions of ad impressions and millions of clicks daily. You'll be part of a collaborative, fun-loving team with an entrepreneurial spirit and bias for action. The position offers significant autonomy and ownership, with the opportunity to influence the future of e-commerce advertising.