Description

　　Just finished the Rings of Power and want to watch more of the same? Looking for a movie that's like The The Burial? So are millions of our Prime Video customers. The Prime Video Relevance team suggests videos that are relevant and tailored to our customers’ schedules and environments. We help our customers find content they didn’t even known they were looking for, continuing to surprise them with the depth of our catalog.

　　Jeff Wilke (ex-CEO, World Wide Consumer) recently highlighted at re:Mars our team’s pioneering use of neural networks for recommendations - our first success from 4 years ago! In order to meet our customers rising expectations and ever expanding catalog of content, we’ve pushed the cutting edge of using deep learning for recommendations ever since. However, we’re still not satisfied with the experience, and we need your help to move even faster.

　　If you are ready to truly make an impact on a product that is used by millions of people around the world, including your own friends and family, then we would love to talk to you.

　　Key job responsibilities

　　Being the lead engineer on a team, mentoring junior engineers, ensuring the right development practices are followed.

　　Being very hands-on; working with an engineering team to manage the day-to-day development activities by leading architecture decisions, participating in design reviews, code reviews, and implementation.

　　Maintaining current technical knowledge to support a rapidly changing technology stack, always being on the look out for new technologies and working with management and development teams in exploring new technologies.

　　Communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.

　　A day in the life

　　Few examples of the things you will work

　　on in routine:

　　Using Neural Networks and Deep Learning techniques to find titles that customers will enjoy

　　Build and operate services that deliver millions of recommendations per second

　　Extend models and algorithms to support our ever growing ways of consuming content (subscriptions, live, rentals etc), dealing with unique challenges such as observational bias and rapidly scaling dimensions

　　Constantly experimenting with changes to the underlying algorithms and models to deliver relevant content to a wide variety of customer experiences.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　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

　　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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/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. Applicants should apply via our internal or external career site.