Prime Video & Amazon MGM Studios
Applied Scientist - Recommendation Systems
Prime Video & Amazon MGM Studios, Seattle, Washington, us, 98127
Applied Scientist - Recommendation Systems
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 series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of Prime membership, can rent or buy titles via the Prime Video Store, and can enjoy even more content 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 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 fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring 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 Prime Video Tech takes you. Key job responsibilities Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods Work closely with other scientists, engineers and product managers to expand the depth of product insights with data, create experiments to determine high-impact projects to include in planning roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish research findings in top conferences and journals A day in the life We’re using advanced approaches such as foundation models to connect information about our videos and customers from multiple sources, enabling effective recommendations even with limited behavioral signals. We seek creative, customer-obsessed ML scientists who can apply the latest research and state-of-the-art algorithms to build highly scalable page personalization solutions. You will be a research leader and hands-on ML practitioner, guiding and collaborating with engineers, scientists, and senior leaders in Prime Video, with opportunities to publish research internally and externally. Basic Qualifications 3+ years of building models for business applications PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or 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 accommodation during the application/hiring 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 $136,000/year to $223,400/year. Pay is based on location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Location : Seattle, WA Job ID : A3070265 Referrals increase your chances of interviewing at Prime Video & Amazon MGM Studios. Get notified about new Applied Scientist jobs in Seattle, WA.
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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 series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of Prime membership, can rent or buy titles via the Prime Video Store, and can enjoy even more content 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 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 fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring 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 Prime Video Tech takes you. Key job responsibilities Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods Work closely with other scientists, engineers and product managers to expand the depth of product insights with data, create experiments to determine high-impact projects to include in planning roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish research findings in top conferences and journals A day in the life We’re using advanced approaches such as foundation models to connect information about our videos and customers from multiple sources, enabling effective recommendations even with limited behavioral signals. We seek creative, customer-obsessed ML scientists who can apply the latest research and state-of-the-art algorithms to build highly scalable page personalization solutions. You will be a research leader and hands-on ML practitioner, guiding and collaborating with engineers, scientists, and senior leaders in Prime Video, with opportunities to publish research internally and externally. Basic Qualifications 3+ years of building models for business applications PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or 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 accommodation during the application/hiring 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 $136,000/year to $223,400/year. Pay is based on location and job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other benefits may be provided as part of a total compensation package. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Location : Seattle, WA Job ID : A3070265 Referrals increase your chances of interviewing at Prime Video & Amazon MGM Studios. Get notified about new Applied Scientist jobs in Seattle, WA.
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