Applied Scientist Advertiser Growth Engine
Applied Scientist Advertiser Growth Engine
Posted on :
23-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
23-04-2025
Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable businesses responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Advertiser Growth Engine (AGE) team owns and builds services and applications across Amazon WorldWide Advertising that make advertising across multimarketplaces as easy as flipping on a switch. We are focused on: 1 expanding Amazon Ads advertiser base and 2 eliminating localization operational and marketplace knowledge gap barrier for Advertisers who advertise across multiple marketplaces. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive longterm growth globally.
Were looking for an experienced Applied Scientist with exceptional technical analytical and innovative capabilities to research design and create elegant machine learning solutions. The solutions will help our advertisers with multimedia and multilingual advertising offerings. You will use ideas from various domains of machine learning including supervised and unsupervised methods Deep Neural Networks Natural Language Processing (NLP) and Computer Vision (CV) to build ML models that localizes multimedia advertising contents including text images and videos. You will also identify opportunities to leverage ML beyond localization including international expansion and global campaigns. Your work will directly impact our customers in the form of products and services used directly by our advertisers as well as our thirdparty integrators.
As an Applied Scientist on this team you will:
Build and deliver endtoend machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.
Perform handson analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
Work closely with software engineers on detailed requirements to productionize the ML models you build.
Run A/B experiments that affect hundreds of millions of customers evaluate the impact of your optimizations and communicate your results to various business stakeholders.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
Research new innovate machine learning approaches.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customerfacing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastestgrowing businesses across all of Amazon! Define a longterm science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
Team video
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 building machine learning models or developing algorithms for business application
Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience in designing experiments and statistical analysis of results
Experience using Unix/Linux
Experience in professional software development
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.
Advertiser Growth Engine (AGE) team owns and builds services and applications across Amazon WorldWide Advertising that make advertising across multimarketplaces as easy as flipping on a switch. We are focused on: 1 expanding Amazon Ads advertiser base and 2 eliminating localization operational and marketplace knowledge gap barrier for Advertisers who advertise across multiple marketplaces. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive longterm growth globally.
Were looking for an experienced Applied Scientist with exceptional technical analytical and innovative capabilities to research design and create elegant machine learning solutions. The solutions will help our advertisers with multimedia and multilingual advertising offerings. You will use ideas from various domains of machine learning including supervised and unsupervised methods Deep Neural Networks Natural Language Processing (NLP) and Computer Vision (CV) to build ML models that localizes multimedia advertising contents including text images and videos. You will also identify opportunities to leverage ML beyond localization including international expansion and global campaigns. Your work will directly impact our customers in the form of products and services used directly by our advertisers as well as our thirdparty integrators.
As an Applied Scientist on this team you will:
Build and deliver endtoend machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.
Perform handson analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
Work closely with software engineers on detailed requirements to productionize the ML models you build.
Run A/B experiments that affect hundreds of millions of customers evaluate the impact of your optimizations and communicate your results to various business stakeholders.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
Research new innovate machine learning approaches.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customerfacing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastestgrowing businesses across all of Amazon! Define a longterm science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
Team video
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 building machine learning models or developing algorithms for business application
Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience in designing experiments and statistical analysis of results
Experience using Unix/Linux
Experience in professional software development
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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