Amazon Applied Scientist Prime Video Research 

Israel, Haifa District, Haifa 

28627473

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 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), 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.- Actively participate in publishing your research in leading conferences and journals.
- Lead a team of skilled applied 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.

- Experience building machine learning models or developing algorithms for business application
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Publications at top-tier peer-reviewed conferences or journals in one of those areas (computer vision, machine learning, audio processing, natural language processing/understanding, large language models)