Software Development Engineer - Machine Learning, Ad Response Prediction

Amazon's Sponsored Products advertising business is seeking a Software Development Engineer in Machine Learning to join their Ads Response Prediction team. This role is at the intersection of machine learning and advertising technology, focusing on improving personalized ad recommendations through state-of-the-art deep learning and LLM-based methods.

The position offers an opportunity to work on critical services that power Amazon's advertising platform, specifically focusing on Click-through-rate (CTR) prediction systems that serve billions of ad impressions daily. You'll be part of a team that's central to Amazon's rapidly growing advertising business, developing solutions that enhance both shopper and advertiser experiences.

As an engineer in this role, you'll be responsible for designing and implementing scalable machine learning pipelines, working with real-time shopper understanding signals, deep product embeddings, and LLM-based insights. The role combines technical expertise in machine learning with large-scale software engineering, requiring someone who can both architect systems and write production-quality code.

The team operates in a startup-like environment within Amazon, with the backing and resources of a major tech company. You'll have significant autonomy to experiment and innovate, while working on problems that directly impact Amazon's advertising business. The role requires someone who is both technically strong and able to collaborate effectively with scientists, product managers, and other engineers.

The compensation is competitive, ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity and sign-on payments. This is an excellent opportunity for someone looking to work at the cutting edge of machine learning applications in advertising, with real impact on one of Amazon's fastest-growing business segments.