Description

The Prime Video Page Composition team develops systems responsible for ranking PV titles on Prime Video pages to optimize for a balance of customer engagement, awareness of our most important content, and business profitability. The team solves problems at the confluence of engineering, machine learning, and business that regularly impact over 100MM customers around the world. We are at the start of an initiative across our org to reimagine this page ranking system and are hiring to help fund the pieces our team owns.

The Page Composition team is part of the Prime Video Personalization and Discovery org, who's mission is to show a customer the right video content, in the right place, at the right time. We tailor PV for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit. We delight Prime subscribers by leaning in to the Amazon originals and exclusives that shape our brand and differentiate us. We grow our relationships with customers by leveraging our deep understanding of them to provide relevant and timely recommendations. We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as viewing continues to shift online, and that science is at the center of delivering a step-function change for our CX.

Key job responsibilities

As a SDE on the Page Composition team, you will work on designing, developing, experimenting and launching solutions to address the vast breadth of Prime Video business line needs on the PV storefront. You will focus on the telemetry and monitoring of our services to ensure outcomes can be traced back to key decisions made to improve and iterate on our models and systems. You will work with engineers, scientists and PMs throughout the org to understand requirements and define solutions. You will focus on operational excellence and streamlined processes which are paramount to the role and the team's success.

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.