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 foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video and text
- Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories
- Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences
- Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
- Effectively communicate technical and non-technical ideas with teammates and stakeholders
- Stay up-to-date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis
- 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.