Machine Learning Engineer Amazon
Machine Learning Engineer Amazon
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Job Description
The CreativeX RAPID(Realtime Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create serve measure and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in realtime leveraging cuttingedge technologies such as latent diffusion models large language models (LLM) reinforced learning (RL) computer vision and related methods.
Our mission is to provide engaging dynamically optimized creatives with low latencies both on and off Amazon for selfservice brand advertisers. We automate the customization of product creatives with realtime catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
Quickly acquire knowledge of cuttingedge technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain.
Investigate design approaches prototype new technologies and evaluate their technical feasibility such as Auto ML realtime ML serving systems.
Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
Develop and maintain platforms for developing evaluating and deploying machine learning models for realworld applications.
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
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 $129300/year in our lowest geographic market up to $223600/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 mission is to provide engaging dynamically optimized creatives with low latencies both on and off Amazon for selfservice brand advertisers. We automate the customization of product creatives with realtime catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
Quickly acquire knowledge of cuttingedge technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain.
Investigate design approaches prototype new technologies and evaluate their technical feasibility such as Auto ML realtime ML serving systems.
Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
Develop and maintain platforms for developing evaluating and deploying machine learning models for realworld applications.
3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
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 $129300/year in our lowest geographic market up to $223600/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
Department / Functional Area
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