Principal Applied Scientist Generative AI Personalization
Principal Applied Scientist Generative AI Personalization
Posted on :
28-04-2025
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1 Vacancy
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Job Description
How can we improve the shopping experience on by tailoring what we display on our pages based on customer interests and preferences How do we use generative models to help us innovate in different ways to enhance the shopping experience How do we generate personalized content that helps customers shop at scale
Our teams stated missions is to grow each customers relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product program and content recommendations. Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build models that streamline customers shopping experiences by showing the right products at the right time. Understanding the complexities of customers shopping needs and helping them explore the depth and breadth of Amazons catalog is a challenge we take on every day.
Using Amazons largescale computing resources you will design and deploy stateoftheart models that help customers shop on Amazon. You will ask research questions about customer behavior design stateoftheart models that help customers shop and deploy these models to production. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit customers and the retail business.
We are looking for a passionate hardworking and talented Applied Scientist who has experience developing stateoftheart models and deploying them to production. You will have an opportunity to make an enormous impact on the design architecture and implementation of cutting edge products used everyday by people you know.
5 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience in a wide breadth of modeling approaches and applications
Experience in building machine learning models for business applications
Experience in applied research
Experience mentoring a team of applied scientists
Experience with neural deep learning methods and generative models (text and image)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $179000/year in our lowest geographic market up to $309400/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 teams stated missions is to grow each customers relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product program and content recommendations. Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build models that streamline customers shopping experiences by showing the right products at the right time. Understanding the complexities of customers shopping needs and helping them explore the depth and breadth of Amazons catalog is a challenge we take on every day.
Using Amazons largescale computing resources you will design and deploy stateoftheart models that help customers shop on Amazon. You will ask research questions about customer behavior design stateoftheart models that help customers shop and deploy these models to production. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit customers and the retail business.
We are looking for a passionate hardworking and talented Applied Scientist who has experience developing stateoftheart models and deploying them to production. You will have an opportunity to make an enormous impact on the design architecture and implementation of cutting edge products used everyday by people you know.
5 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience in a wide breadth of modeling approaches and applications
Experience in building machine learning models for business applications
Experience in applied research
Experience mentoring a team of applied scientists
Experience with neural deep learning methods and generative models (text and image)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $179000/year in our lowest geographic market up to $309400/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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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