Applied Scientist I, Prime Video Experiences Technology

0 - 5 years

50 - 85 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Description

We are looking for an Applied Scientist II who can work on different aspects of video content, including text metadata, video, audio, and images. Youll apply a variety of techniques in computer vision, deep learning, machine learning, and image processing algorithms to build visual understanding, metadata extraction, and curation systems.
You will be contributing to a platform that processes terabytes of video content data. Youll collaborate with other scientists and engineers across Amazon to implement new technologies, prototype solutions, and help deliver an exceptional customer experience. Working closely with software development teams, youll assist in building robust vision-based solutions for customer-facing applications. This role requires a willingness to learn and adapt in an environment where problems havent been addressed at scale before. We value initiative and ownership. Youll have the opportunity to contribute to practical applications, working with product teams, science backend, and various other teams across the organization. Your work will directly impact millions of users, as you help develop the next generation of viewing experiences with Prime Video X-Ray. If youre eager to tackle challenging problems, work with state-of-the-art AI technologies, and make a positive impact on the future of entertainment, we want to hear from you. We guarantee that youll learn a ton, have fun, and be part of innovation in streaming entertainment. Experience programming in Java, C++, Python or related language Masters degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience building machine learning models or developing algorithms for business application Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

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