Applied Scientist II, Prime Video Personalization and Discovery Science

Overview

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Responsibilities

• Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods
• Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine high-impact projects to include in planning roadmaps
• Stay up-to-date with advancements and the latest modeling techniques in the field
• Publish your research findings in top conferences and journals

A day in the life

We’re using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This enables us to recommend titles effectively, even when we don’t have a large behavioral signal (to tackle the cold-start title problem). We are looking for creative & customer-obsessed machine learning scientists who can apply the latest research, state-of-the-art algorithms and ML to build highly scalable page personalization solutions. You’ll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.

About The Team

Prime Video Recommendation Science team owns science solutions to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production.

Basic Qualifications

Preferred Qualifications

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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