Amazon Research Scientist Prime Video 

United States, Washington, Seattle 

628416050

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.Key job responsibilities
As a Research 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. Other responsibilities include:
• 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.
• Lead a team of skilled research scientists, 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.

- PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R, SAS, Matlab, etc.)
- Experience using SQL databases to manage and analyze large data sets

- PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience applying forecasting and data mining techniques