The Customer Behavior Analytics team at Amazon is looking to solve the problem of enhancing customer experiences and strengthening their relationship with the company through innovative machine learning solutions.
Requirements
- Experience programming in Java, C++, Python or related language
- Have publications at top-tier peer-reviewed conferences or journals
- Experience using Unix/Linux
- Experience building machine learning models or developing algorithms for business application
- Experience in targeting, advertising, website optimization, recommender systems
Responsibilities
- Developing and deploying sophisticated incentive recommendation models to optimize customer engagement and loyalty.
- Contributing to the creation of advanced Neural Network or generative recommender systems to provide personalized experiences.
- Developing innovative statistical methods to calibrate our predictions and corroborate them with data sources and behavioral signals.
- Designing and implementing models that improve the overall relationship between customers and Amazon, focusing on long-term customer value and satisfaction.
- Applying reinforcement learning methods in production to continuously improve and adapt customer behavior models.
- Leveraging state-of-the-art AI/ML techniques to extract insights from vast amounts of customer data.
Other
- PhD, or Master's degree and 3+ years of practical machine learning experience
- Ability to simplify complex technical concepts and explaining modeling approaches and outcomes to business leaders with the right level of detail.
- Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
