Prime Video & Amazon MGM Studios
Applied Scientist - Recommendation Systems
Prime Video & Amazon MGM Studios, New York, New York, us, 10261
Applied Scientist - Recommendation Systems
Join to apply for the
Applied Scientist - Recommendation Systems
role at
Prime Video & Amazon MGM Studios Overview
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, youll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. Youll work on fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. Well look for diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. 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 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 Masters 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
Equal Opportunity & Accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For applicants in Los Angeles County: job duties include working safely and cooperatively with others; adhering to standards of excellence under stress; effective and respectful communication; and complying with federal, state, and local laws and company policies. Criminal history may have a direct, adverse relationship with some duties. Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered. If you need a workplace accommodation 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. If the country/region youre applying in isnt 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 factors including market location and experience. Amazon is a total compensation company; equity, sign-on, and other benefits may be provided as part of a total package. For more information, 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. Company: Amazon.com Services LLC | Job ID: A3062561 #J-18808-Ljbffr
Join to apply for the
Applied Scientist - Recommendation Systems
role at
Prime Video & Amazon MGM Studios Overview
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, youll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. Youll work on fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. Well look for diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. 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 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 Masters 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
Equal Opportunity & Accommodations
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For applicants in Los Angeles County: job duties include working safely and cooperatively with others; adhering to standards of excellence under stress; effective and respectful communication; and complying with federal, state, and local laws and company policies. Criminal history may have a direct, adverse relationship with some duties. Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered. If you need a workplace accommodation 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. If the country/region youre applying in isnt 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 factors including market location and experience. Amazon is a total compensation company; equity, sign-on, and other benefits may be provided as part of a total package. For more information, 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. Company: Amazon.com Services LLC | Job ID: A3062561 #J-18808-Ljbffr