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Applied Scientist, Prime Video Sports

Amazon · Tel Aviv, Tel Aviv · Posted 2 days ago

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Computer VisionMachine LearningDeep LearningPythonJavaC++CNNGAN

Help build a Prime Video Sports tech team in Israel from the ground up, applying computer vision and ML to live sports streaming for global audiences.

Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

We are looking for an Applied Scientist to join our journey to build a Prime Video Sports tech team in Israel from the ground up. Our team focuses on developing products that personalize the customer experience and provide real-time insights using Computer Vision (CV) and Machine Learning (ML). You will get the chance to work on greenfield, large-scale science and engineering projects.

Key job responsibilities We are looking for an Applied Scientist to lead the development of new Computer Vision algorithms and end-to-end solutions. You will research, design, develop, and deploy algorithms into production pipelines as part of a team of applied scientists and software development engineers. You will also drive publications of original work as patents and, optionally, in top-tier Computer Vision and Machine Learning conferences. This role involves collaborating across cross-functional teams and systems, and navigating evolving technical challenges in a greenfield environment.

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