Applied Scientist Amazon Advertising - Sponsored Products Brands Conversational Ad Experiences
Applied Scientist Amazon Advertising - Sponsored Products Brands Conversational Ad Experiences
Posted on :
28-04-2025
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1 Vacancy
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Job Description
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of selfservice performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create worldclass products. We are highly motivated collaborative and funloving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our crossfunctional team focuses on designing developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leadingedge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive conversational multiturn interfaces. We also empower advertisers to reach shoppers using their own voice to explain and demonstrate how their products meet shoppers needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of whats possible in these fields.
As an Applied Scientist on our team you will be working with talented scientists engineers and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements and has experience in Natural Language Processing Ads recommendation systems information/evidence retrieval and/or LLM prompt engineering. If youre fired up about being part of a dynamic driven team then this is your moment to join us on this exciting journey!
Key job responsibilities
Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team
Build POCs experiment optimize and deploy models into production
Partner with other Science teams within the org to deliver features for a net new shopper experience
Run experiments/weblabs and be able to perform statistical analysis
Mentor other scientists on the team
Partnering with Principal PMT and SDM to influence the Product strategy
Nice to have
Experience in Ads recommendations & information / evidence retrieval
Experience working with Large Language Models & Prompt Engineering
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our crossfunctional team focuses on designing developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leadingedge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive conversational multiturn interfaces. We also empower advertisers to reach shoppers using their own voice to explain and demonstrate how their products meet shoppers needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of whats possible in these fields.
As an Applied Scientist on our team you will be working with talented scientists engineers and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements and has experience in Natural Language Processing Ads recommendation systems information/evidence retrieval and/or LLM prompt engineering. If youre fired up about being part of a dynamic driven team then this is your moment to join us on this exciting journey!
Key job responsibilities
Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team
Build POCs experiment optimize and deploy models into production
Partner with other Science teams within the org to deliver features for a net new shopper experience
Run experiments/weblabs and be able to perform statistical analysis
Mentor other scientists on the team
Partnering with Principal PMT and SDM to influence the Product strategy
Nice to have
Experience in Ads recommendations & information / evidence retrieval
Experience working with Large Language Models & Prompt Engineering
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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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