Applied Scientist Sponsored Products Search Relevance
Applied Scientist Sponsored Products Search Relevance
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
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. As a core product offering within our advertising portfolio Sponsored Products (SP) helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The SP teams primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive longterm growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Our team develops AI solutions to tackle the most difficult challenges that hinder the search experience on Amazon. To accomplish this we invest in large language models (LLM) multimodal Generative AI models and other related DL methods.
We are looking for a passionate Applied Scientist talented in the fields of Artificial Intelligence (AI) Natural Language Processing (NLP) and Information Retrieval to invent and build scalable solutions for improving sponsored products experience in the context of Amazon Search.
A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have handson experiences in building endtoend Generative AI solutions (mainly with LLMs and multimodal foundation models) enjoy operating in dynamic environments be selfmotivated to take on challenging highambiguity problems to deliver big customer impact.
Key job responsibilities
As a Applied Scientist in the team you will:
Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI solutions.
Design and lead AI roadmaps and solutions aimed at helping our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers.
Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
Identify untapped highrisk technical and scientific directions and devise new research directions that you will drive to completion and deliver.
Be responsible for communicating our AI innovations to the broader internal & external scientific community.
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 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.
Our team develops AI solutions to tackle the most difficult challenges that hinder the search experience on Amazon. To accomplish this we invest in large language models (LLM) multimodal Generative AI models and other related DL methods.
We are looking for a passionate Applied Scientist talented in the fields of Artificial Intelligence (AI) Natural Language Processing (NLP) and Information Retrieval to invent and build scalable solutions for improving sponsored products experience in the context of Amazon Search.
A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have handson experiences in building endtoend Generative AI solutions (mainly with LLMs and multimodal foundation models) enjoy operating in dynamic environments be selfmotivated to take on challenging highambiguity problems to deliver big customer impact.
Key job responsibilities
As a Applied Scientist in the team you will:
Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI solutions.
Design and lead AI roadmaps and solutions aimed at helping our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers.
Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
Identify untapped highrisk technical and scientific directions and devise new research directions that you will drive to completion and deliver.
Be responsible for communicating our AI innovations to the broader internal & external scientific community.
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 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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