Amazon is seeking a Senior Applied Scientist to join their Featured Merchant Algorithm team, a critical component of their global e-commerce platform. This role sits at the heart of Amazon's retail operations, working on models that determine how offers are selected and displayed to hundreds of millions of customers worldwide.
The position offers an exceptional opportunity to work on high-impact machine learning systems that process millions of requests per second, handling hundreds of millions of products and billions of offers globally. The team operates at the intersection of Artificial Intelligence, Statistics, and Econometrics, utilizing advanced techniques in Causal Inference, Bayesian Modeling, Deep Learning, and Multi-armed Bandits.
As a Senior Applied Scientist, you'll lead the development of next-generation featured offer selection models, incorporating evolving customer preferences and scaling with Amazon's growing programs. You'll collaborate with multiple Amazon businesses to identify opportunities and improve customer experience through innovative technical solutions.
The role offers unique advantages, including:
The team culture emphasizes innovation, learning, and professional growth, with regular opportunities to publish papers, file patents, and present to senior leadership. You'll work in a collaborative environment that values diverse perspectives and maintains high standards while ensuring personal well-being.
Technical responsibilities include developing complex machine learning models, optimizing large-scale distributed systems, and implementing solutions that balance sophisticated technical requirements with practical business needs. The role requires strong leadership skills to influence technical direction, mentor team members, and drive cross-organizational initiatives.
This position offers competitive compensation reflecting geographic market differences, with additional benefits including equity, sign-on payments, and comprehensive medical coverage. Join a team that's shaping the future of e-commerce while maintaining a supportive, balanced work environment.