Prime Video & Amazon MGM Studios is hiring: Applied Scientist, Prime Video - Con

Applied Scientist, Prime Video - Content Generation Team

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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 Prime membership, can rent or buy titles via the Prime Video Store, and can enjoy more content with ads.

Responsibilities

As an Applied Scientist at Prime Video, you will own the product, related research, and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, natural language processing (NLP), multimedia understanding, and related areas. You’ll work on projects that enhance Prime Video’s content localization, content generation, image/video understanding, and content personalization, driving innovations for a global audience. Other responsibilities include:

• Lead 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 with engineering teams to integrate models into production systems at scale, ensuring performance and reliability.
• Actively publish research in leading conferences and journals.
• Stay up-to-date with the latest AI/ML advancements to drive future research initiatives.

Basic Qualifications

• 3+ years of experience building models for business applications.
• PhD, or Master’s degree with 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python, or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Preferred Qualifications

• Experience with generative deep learning models for synthetic humans (e.g., CNNs, GANs, VAEs, NF).
• Experience with patents or publications at top-tier 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.

Los Angeles County applicants: job duties include working safely, communicating effectively, and following all laws and company policies. Criminal history may have a direct, adverse relationship with some duties. We will consider qualified applicants with arrest and conviction records per the Los Angeles County Fair Chance Ordinance.

Our inclusive culture empowers Amazonians to deliver the best results for customers. If you need a workplace accommodation during the application and hiring process, including support for the interview or onboarding, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on location, knowledge, skills, and experience. Amazon is a total compensation company; equity, sign-on payments, and other benefits may be provided as part of a total compensation package.

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

Company - Amazon.com Services LLC

Job ID: A3043192

Job Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Research, Science, and Engineering
• Industries: Entertainment Providers