Sr. Applied Scientist, 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.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll work on projects that are fast-paced, challenging, and varied, with opportunities to experiment, take risks, and collaborate with remarkable people. We value diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.

Responsibilities

• Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods.
• Work closely with engineers and product managers to design, implement, and launch AI solutions end-to-end.
• 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 the field.
• Publish research findings in top conferences and journals.

About the team

Our team works at the intersection of generative recommendations, multi-objective reinforcement learning, and whole-page optimization. We're rethinking how recommendation systems construct experiences end-to-end, moving beyond ranked lists toward intelligent, adaptive page-level decision-making at scale.

Qualifications

• Self-motivated, passionate, and resourceful Applied Scientist with hands-on machine learning expertise.
• Experience building and guiding machine learning models from the ground up.
• Ability to see contributions benefit millions of customers worldwide.