Job Description

DESCRIPTION

Just finished Man in the High Castle and want to watch more of the same? Looking for a movie that's like The Big Sick? 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 didnt even known they were looking for, continuing to surprise them with the depth of our catalog

Jeff Wilke (CEO, World Wide Consumer) recently highlighted at re:Mars our teams 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, weve pushed the cutting edge of using deep learning for recommendations ever since. However, were still not satisfied with the experience, and we need your help to move even faster.

Our teams are already either exploring or leveraging: residual networks for surfacing more of our catalog, auto encoders and clustering to identify niche content carousels, attention networks to better understand what customers are currently into, reinforcement learning to optimize for the long term, graph convolution networks to understand the complex interaction of our customers with the videos they enjoy (or dont), and transfer learning to optimize to different customer objectives. Not only will you be exposed to the cutting edge of machine learning research, you'll collaborate with a talented team of engineers and scientists to create services to run these predictions on distributed systems at incredible scale and speed. As a member of the Prime Video Relevance team, you will spend your time as a hands-on engineer and a technical leader. You will play a key role in building and guiding software products and features from the ground up. You will use a wide range of technologies, programming languages and systems. Your responsibilities will include all aspects of software development. At the end of the day, you will have the reward of seeing your contributions delight Prime Video customers worldwide.

Some examples of the things we work on:
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
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.

BASIC QUALIFICATIONS

Programming experience with at least one modern language such as Java, C++, or C including object-oriented design
Bachelor's Degree in Computer Science or related field
Programming experience with at least one modern language such as Java, C++, or C including object-oriented design

PREFERRED QUALIFICATIONS

Bachelor's or Masters degree in Computer Science or equivalent
Experience with Java
Experience with critical, 24x7 systems
Meets/exceeds Amazons leadership principles requirements for this role
Meets/exceeds Amazons functional/technical depth and complexity for this role.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Basic system design and architecture experience.
Excellence in technical communications with both technical and non-technical peers.
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.