Prime Video & Amazon MGM Studios
Applied Scientist - Recommendation Systems
Prime Video & Amazon MGM Studios, Seattle, Washington, us, 98127
Overview
Applied Scientist - Recommendation Systems at Prime Video & Amazon MGM Studios. Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced content and programming from Prime Video add-ons. All customers can rent or buy titles via the Prime Video Store, with more content available for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences. As a Prime Video technologist, you’ll own the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll work on fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll value diverse perspectives, ideas, and skill-sets to make Prime Video even better for customers. Global opportunities exist for talented technologists. Responsibilities
Develop ML models for various recommendation and search systems using deep learning, online learning, and optimization methods Collaborate with scientists, engineers, and product managers to expand product insights with data, and design experiments to identify high-impact projects for roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish research findings in top conferences and journals Basic Qualifications
3+ years of building models for business applications PhD, or Master\'s degree with 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in one or more of: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications
Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the accommodations information page for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. For more information, please visit the Amazon benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Applied Scientist - Recommendation Systems at Prime Video & Amazon MGM Studios. Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced content and programming from Prime Video add-ons. All customers can rent or buy titles via the Prime Video Store, with more content available for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences. As a Prime Video technologist, you’ll own the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll work on fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll value diverse perspectives, ideas, and skill-sets to make Prime Video even better for customers. Global opportunities exist for talented technologists. Responsibilities
Develop ML models for various recommendation and search systems using deep learning, online learning, and optimization methods Collaborate with scientists, engineers, and product managers to expand product insights with data, and design experiments to identify high-impact projects for roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish research findings in top conferences and journals Basic Qualifications
3+ years of building models for business applications PhD, or Master\'s degree with 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in one or more of: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications
Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the accommodations information page for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. For more information, please visit the Amazon benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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