Prime Video & Amazon MGM Studios is hiring : Applied Scientist, Prime Video in Se

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.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

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 get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Key Job Responsibilities As Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You’ll work on diverse projects that enhance Prime Video’s recommendation systems, image / video understanding, and content personalization, driving impactful innovations for our global audience.

Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges.

Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.

Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.

Actively participate in publishing your research in leading conferences and journals.

You will shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership

Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.

About The Team At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it’s developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You’ll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged.

Basic Qualifications Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Experience programming in Java, C++, Python or related language

Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications Experience implementing algorithms using both toolkits and self-developed code

Have publications at top-tier peer-reviewed conferences or journals

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 https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information.

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