Software Engineer II, Customer eXperience Impressions (CXI)

Amazon's Customer eXperience Impressions (CXI) team is seeking a Software Engineer II to join their innovative machine learning team. This role sits at the intersection of customer experience and supply chain optimization, focusing on developing ML-driven systems that detect and address friction points in the Amazon shopping experience.

The position offers an exciting opportunity to work on large-scale data pipelines and recommendation systems that directly impact millions of customers. As part of the Supply Chain Optimization Technology (SCOT) organization, you'll be building real-time ML pipelines that evaluate customer interaction signals throughout the shopping journey—from search to purchase completion.

Key responsibilities include developing and deploying large-scale ML models for defect detection, designing high-performance distributed systems, and implementing real-time inference optimization. You'll work closely with Scientists to research customer behavior patterns, create sophisticated models, and conduct experiments to validate solutions.

This role requires expertise in machine learning, distributed systems, and real-time processing. You'll be optimizing feature stores, developing online learning mechanisms, and creating frameworks for causal inference to measure intervention impacts. The position offers significant visibility and regular interaction with senior leadership.

The compensation is highly competitive, ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity and sign-on bonuses. This is an excellent opportunity for a mid-level engineer looking to make a significant impact on Amazon's customer experience while working with cutting-edge ML technologies.

Join Amazon's CXI team to help ensure millions of customers have a seamless shopping experience while working alongside talented engineers and scientists in a fast-paced, innovative environment. Your work will directly influence customer satisfaction and business outcomes through real-time detection and correction of shopping experience defects.