Applied Scientist GenAI CreativeX Amazon Advertising
Applied Scientist GenAI CreativeX Amazon Advertising
Posted on :
12-04-2025
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1 Vacancy
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Job Description
Amazon Advertising is one of Amazons fastest growing businesses. Amazons advertising portfolio helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The 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!
The Creative X team within Amazon Advertising time aims to democratize access to highquality creatives (images videos) by building AIdriven solutions for advertisers. To accomplish this we are investing in latentdiffusion models large language models (LLM) computer vision (CV) reinforced learning (RL) and image video and audio synthesis.
You will be part of a closeknit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields.
We are looking for talented Applied Scientists who are adept at a variety of skills especially with computer vision latent diffusion or related foundational models that will accelerate our plans to generate highquality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team publish patent and bring SOTA research to raise the bar within the team.
As an Applied Scientist on this team you will:
* Drive endtoend GenAI 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.
* Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
* Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
* Identify and action data collection and labelling in conjunction with team members.
* Research new and innovative machine learning approaches.
* Present results and explain methods to senior leadership.
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.
Key job responsibilities
This role is focused on computer vision latent diffusion models and the related foundational models to produce generative imagery and videos. You will develop core models that will be the foundational of the core advertisingfacing tools that we are launching. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers who will partner with you to productize your work.
A day in the life
On a daytoday basis you will be doing your independent research and work to develop models you will participate in sprint planning collaborative sessions with your peers and demo new models and share results with peers other partner teams and leadership.
About the team
The team consists of applied scientists and machine learning engineers. We reside in the Creative X organization which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
4 years of building ML models
PhD or Masters degree and 5 years of CS CE ML or related field experience
Experience programming in Python or C or a related language
Experience with GenAI model training and tuning
* Published relevant research work in leading ML conferences or journals.
* Experience in building and deploying largescale machinelearning models for computer vision natural language processing ranking or personalization etc.
* Experience working with large realworld data sets and building scalable models from big data.
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 $150400/year in our lowest geographic market up to $260000/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 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!
The Creative X team within Amazon Advertising time aims to democratize access to highquality creatives (images videos) by building AIdriven solutions for advertisers. To accomplish this we are investing in latentdiffusion models large language models (LLM) computer vision (CV) reinforced learning (RL) and image video and audio synthesis.
You will be part of a closeknit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields.
We are looking for talented Applied Scientists who are adept at a variety of skills especially with computer vision latent diffusion or related foundational models that will accelerate our plans to generate highquality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team publish patent and bring SOTA research to raise the bar within the team.
As an Applied Scientist on this team you will:
* Drive endtoend GenAI 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.
* Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
* Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving.
* Identify and action data collection and labelling in conjunction with team members.
* Research new and innovative machine learning approaches.
* Present results and explain methods to senior leadership.
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.
Key job responsibilities
This role is focused on computer vision latent diffusion models and the related foundational models to produce generative imagery and videos. You will develop core models that will be the foundational of the core advertisingfacing tools that we are launching. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers who will partner with you to productize your work.
A day in the life
On a daytoday basis you will be doing your independent research and work to develop models you will participate in sprint planning collaborative sessions with your peers and demo new models and share results with peers other partner teams and leadership.
About the team
The team consists of applied scientists and machine learning engineers. We reside in the Creative X organization which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
4 years of building ML models
PhD or Masters degree and 5 years of CS CE ML or related field experience
Experience programming in Python or C or a related language
Experience with GenAI model training and tuning
* Published relevant research work in leading ML conferences or journals.
* Experience in building and deploying largescale machinelearning models for computer vision natural language processing ranking or personalization etc.
* Experience working with large realworld data sets and building scalable models from big data.
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 $150400/year in our lowest geographic market up to $260000/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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