Prime Video & Amazon MGM Studios
Applied Scientist, Prime Video
Prime Video & Amazon MGM Studios, Seattle, Washington, us, 98127
Overview
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Applied Scientist, Prime Video
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Prime Video & Amazon MGM Studios . 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 work on projects that are fast-paced, challenging, and varied, and you’ll be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career at Prime Video Tech takes you. Responsibilities
As 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 related areas. Work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. 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. 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. Basic Qualifications
Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications
Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals About The Team
At Prime Video, we strive to deliver best-in-class entertainment experiences across devices for millions of customers. You’ll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged. EEO and Accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Join to apply for the
Applied Scientist, Prime Video
role at
Prime Video & Amazon MGM Studios . 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 work on projects that are fast-paced, challenging, and varied, and you’ll be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career at Prime Video Tech takes you. Responsibilities
As 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 related areas. Work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. 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. 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. Basic Qualifications
Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications
Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals About The Team
At Prime Video, we strive to deliver best-in-class entertainment experiences across devices for millions of customers. You’ll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged. EEO and Accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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