Sr. Applied Scientist, Prime Video Generative AI

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 subscriptions such as Apple TV HBO Max Peacock 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 Videos technology teams are creating best-in-class digital video experience. As a Prime Video team member youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.

Well 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 an 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) Generative AI multimedia understanding and so on.

Youll work on diverse projects that enhance Prime Videos content localization image/video understanding and content personalization driving impactful innovations for our global audience. Other responsibilities include:
- Research and develop generative models for controllable synthesis across images video vector graphics and multimedia
- Innovate in advanced diffusion and flow-based methods (e.g. inverse flow matching parameter efficient training guided sampling test-time adaptation) to improve efficiency controllability and scalability.
- Advance visual grounding depth and 3D estimation segmentation and matting for integration into pre-visualization compositing VFX and post-production pipelines.
- Design multimodal GenAI workflows including visual-language model tooling structured prompt orchestration agentic pipelines.

A day in the life
Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible scalable and efficient.

We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Videos global content and marketing pipelines. This is a newly formed team within Prime Video Science!


- PhD or Masters degree and 6 years of applied research experience
- 3 years of building machine learning models for business application experience
- Experience programming in Java C Python or related language
- Experience in generative models (diffusion flow transformers)
- Hands-on experience with image/video synthesis and editing techniques
- Proficiency in PyTorch and modern DL toolkits (e.g. Hugging Face ecosystem)

- Experience in professional software development
- Publications in top-tier AI/ML/Graphics Conferences (CVPR ICCV/ECCV SIGGRAPH NeurIPS ICLR)
- Experience with controllable generation methods including emerging approaches (familiarity with LoRA/ControlNet parameter-efficient tuning or test-time training a plus)
- Expertise in one or more of: harmonization relighting style transfer lip-sync segmentation matting depth estimation 3D camera/scene modeling.

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 for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.