About the position
Amazon's Customer eXperience Impressions (CXI) team is hiring a Software Engineer to develop machine learning-driven decision systems that detect defects in the Amazon shopping experience and recommend interventions. This role requires expertise across the full machine learning lifecycle, including feature engineering, model development, inference optimization, and real-time decisioning. The engineer will work on large-scale data pipelines, recommendation systems, and automated decision frameworks to ensure Amazon acts before friction impacts demand and customer visits. CXI operates at the intersection of customer experience and supply chain optimization. As part of Supply Chain Optimization Technology (SCOT), the team's data infrastructure captures signals from every stage of the shopping journey-search, detail page, and repeat purchase interactions-to measure when and why customers hesitate, abandon their carts, etc. The engineer will build real-time ML pipelines that evaluate these signals, to ensure that interventions happen at the moment they can still recover lost sales. This includes developing and deploying large-scale ML models that detect and rank defects based on severity and intervention confidence, determining when and how Amazon should act.
Responsibilities
- Work closely with Scientists to ask research questions about customer behavior.
- Develop models for defect detection and intervention prioritization.
- Design experiments to validate assumptions.
- Integrate machine learning models into high-performance, distributed decision systems.
- Ensure low-latency execution at Amazon's scale.
- Optimize feature stores and build online learning mechanisms.
- Design architectures that adapt intervention strategies dynamically based on observed outcomes.
- Develop causal inference frameworks to quantify the true impact of delayed or missed interventions.
- Participate in the Amazon ML community, sharing best practices and mentoring software development engineers.
Requirements
- Experience programming with at least one software programming language.
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture of new and existing systems experience.
Nice-to-haves
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing.
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
Benefits
- Equity and sign-on payments as part of total compensation package.
- Full range of medical, financial, and/or other benefits.
