Applied Scientist Sponsored Products Marketplace Intelligence Sponsored Products and Brands
Applied Scientist Sponsored Products Marketplace Intelligence Sponsored Products and Brands
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Calling all inventors to work on exciting new opportunities in Sponsored Products. Amazon is building a world class advertising business and defining and delivering a collection of selfservice performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving longterm growth. Sponsored Products (SP) helps merchants retail vendors and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning big data analytics ultralow latency highvolume engineering systems and quantitative product focus. We are a highly motivated collaborative and funloving group with an entrepreneurial spirit and bias for action.
You will join a newlyfounded team with a broad mandate to experiment and innovate with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly you will have the opportunity to broaden your technical skills and be a science leader in an environment that thrives on creativity experimentation and product innovation.
Key job responsibilities
Tackle and solve challenging science and business problems that balance the interests of advertisers shoppers and Amazon.
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Develop realtime machine learning algorithms to allocate billions of ads per day in advertising auctions.
Develop efficient algorithms for multiobjective optimization using deep learning methods to find operating points for the ad marketplace then evolve them
Research new and innovative machine learning approaches.
Recruit Scientists to the team and provide mentorship.
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
3 years of solving business problems through machine learning data mining and statistical algorithms experience
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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.
You will join a newlyfounded team with a broad mandate to experiment and innovate with a focus on driving growth of sponsored products ad experiences across Amazon stores worldwide. This broad charter gives us the flexibility to explore and apply scientific techniques to novel product problems. You will have the satisfaction of seeing your work improve the experience of millions of Amazon shoppers worldwide while driving quantifiable revenue impact. More importantly you will have the opportunity to broaden your technical skills and be a science leader in an environment that thrives on creativity experimentation and product innovation.
Key job responsibilities
Tackle and solve challenging science and business problems that balance the interests of advertisers shoppers and Amazon.
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Develop realtime machine learning algorithms to allocate billions of ads per day in advertising auctions.
Develop efficient algorithms for multiobjective optimization using deep learning methods to find operating points for the ad marketplace then evolve them
Research new and innovative machine learning approaches.
Recruit Scientists to the team and provide mentorship.
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
3 years of solving business problems through machine learning data mining and statistical algorithms experience
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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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