Software Development Engineer II - Recommendation Systems, Amazon Personalization
Amazon
DESCRIPTION
Are you passionate about AI for recommendation systems? Do you want to influence the content that customers see at Amazon.com? Our recommendation services team designs and implements scalable machine learning solutions to personalize and optimize customer experience across Amazon retail pages. We are looking for an applied scientist to join us in this exciting journey.
About our organization:
Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as “Customers who bought this item also bought”, “Frequently bought together”, and "Keep shopping for ...". Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.
Our mission is to provide a single integration point to an open marketplace of personalized content and centrally apply content eligibility requirements for Amazon. We support more than 500 teams across Amazon who interact with our services and tools directly. We have medium ops load with a weekly average of 2-3 sev-2 tickets. Our team gives importance to work-life balance. You will have ample opportunities to mentor junior software engineers and interns on the team. You also have access to Senior SDEs and PEs across the Personalization org to help you develop your career.
About the team
Our team enables innovation on behalf of our customers by making it easy to get the right content in front of the right customers at the right time. We build services that utilize a deep understanding of the customer, context, and content, to decide what to show on every page on Amazon. Our service returns dynamic content generated at runtime that is ranked by machine learning models. This unique architecture enables hundreds of teams across Amazon to launch new personalization experiments and have massive impact on millions of customers worldwide.