Applied Scientist Sponsored Products
Applied Scientist Sponsored Products
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
The Search Supply & Experiences team within Sponsored Products is seeking an Applied Scientist to solve challenging problems in natural language understanding personalization and other areas using the latest techniques in machine learning. In our team you will have the opportunity to create new ads experiences that elevate the shopping experience for our hundreds of millions customers worldwide.
As an Applied Scientist you will partner with other talented scientists and engineers to design train test and deploy machine learning models. You will be responsible for translating business and engineering requirements into deliverables and performing detailed experiment analysis to determine how shoppers and advertisers are responding to your changes.
We are looking for candidates who thrive in an exciting fastpaced environment and who have a strong personal interest in learning researching and creating new technologies with high customer impact.
Key job responsibilities
As an Applied Scientist on the Search Supply & Experiences team you will:
Perform handson analysis and modeling of enormous datasets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Drive endtoend machine learning projects that have a high degree of ambiguity scale and complexity.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Design and run experiments gather data and perform statistical analysis.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
Stay up to date on the latest advances in machine learning.
About the team
We are a customerobsessed team of engineers technologists product leaders and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to shoppers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon
3 years of building models for business application experience
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 any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in professional software development
Have publications at toptier peerreviewed conferences or journals
Experience implementing algorithms using both toolkits and selfdeveloped code
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.
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 including support for the interview or onboarding process please visit for more information. 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
As an Applied Scientist you will partner with other talented scientists and engineers to design train test and deploy machine learning models. You will be responsible for translating business and engineering requirements into deliverables and performing detailed experiment analysis to determine how shoppers and advertisers are responding to your changes.
We are looking for candidates who thrive in an exciting fastpaced environment and who have a strong personal interest in learning researching and creating new technologies with high customer impact.
Key job responsibilities
As an Applied Scientist on the Search Supply & Experiences team you will:
Perform handson analysis and modeling of enormous datasets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Drive endtoend machine learning projects that have a high degree of ambiguity scale and complexity.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Design and run experiments gather data and perform statistical analysis.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
Stay up to date on the latest advances in machine learning.
About the team
We are a customerobsessed team of engineers technologists product leaders and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to shoppers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon
3 years of building models for business application experience
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 any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience in professional software development
Have publications at toptier peerreviewed conferences or journals
Experience implementing algorithms using both toolkits and selfdeveloped code
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.
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 including support for the interview or onboarding process please visit for more information. 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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