Machine Learning Engineer, Sponsored Products Off-Search Sourcing and Relevance - New York

Amazon is hiring a Machine Learning Engineer for the Sponsored Products Off-Search Sourcing and Relevance team. You will build and operate ML models, data pipelines, and low-latency ad serving systems that power personalized ads across non-Search surfaces at Amazon scale. Collaborate with product managers and scientists to run A/B experiments and drive measurable customer impact.

• Design, build, and operate ML infrastructure and data processing pipelines for ad relevance and sourcing at massive scale
• Develop and optimize machine learning models incorporating deep product and shopper understanding
• Architect and build ad serving systems with high volume, low latency, and strict availability requirements
• Integrate ML solutions with large-scale distributed systems for click-through prediction and ad auction
• Measure impact and customer response through rapid A/B experimentation
• Collaborate with Product Managers and Scientists to translate complex business problems into scalable ML-driven solutions

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) experience
• Experience programming with at least one software programming language