Amazon
Sr. Applied Scientist, Prime Video - Partner Experience
Amazon, Seattle, Washington, us, 98127
Sr. Applied Scientist, Prime Video - Partner Experience
Job ID: 2730565 | Amazon.com Services LLCPrime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.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.We are seeking a talented and inventive Applied Scientist to join the Prime Video Partner Experience team. You will be a pioneer in implementing the cutting edge ML and Generative AI techniques to the world of Entertainment. Your ability to innovate will unlock new levels of creativity for our content creation partners, optimize business functions, and impact the experience and efficiency of our 3p partners around the world to delight Prime Video customers.Key job responsibilities
You will work at the intersection of Science and Engineering and push the boundaries of ML and Generative AI techniques in developing capabilities that delight and motivate our content creation partners to serve their content through Prime Video. The systems you develop will amplify customer acquisition, enhance customer engagement and optimize Prime Video's business functions and digital supply chain.About the team
We are the Partner Experience organization in Prime Video, responsible for building cutting edge systems and experiences that enable best in class content management, monetization and analytics for tens of thousands of Prime Video’s 3p partners (Hollywood Studios, Media Houses, Post production houses, content creators).BASIC QUALIFICATIONS
3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2730565 | Amazon.com Services LLCPrime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.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.We are seeking a talented and inventive Applied Scientist to join the Prime Video Partner Experience team. You will be a pioneer in implementing the cutting edge ML and Generative AI techniques to the world of Entertainment. Your ability to innovate will unlock new levels of creativity for our content creation partners, optimize business functions, and impact the experience and efficiency of our 3p partners around the world to delight Prime Video customers.Key job responsibilities
You will work at the intersection of Science and Engineering and push the boundaries of ML and Generative AI techniques in developing capabilities that delight and motivate our content creation partners to serve their content through Prime Video. The systems you develop will amplify customer acquisition, enhance customer engagement and optimize Prime Video's business functions and digital supply chain.About the team
We are the Partner Experience organization in Prime Video, responsible for building cutting edge systems and experiences that enable best in class content management, monetization and analytics for tens of thousands of Prime Video’s 3p partners (Hollywood Studios, Media Houses, Post production houses, content creators).BASIC QUALIFICATIONS
3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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