Applied Scientist II, Prime Video Personalization and Discovery Science
About the role
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.
Key job 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 the 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
About The Team
The 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.