Sr. MLE, Creative-X, Amazon Advertising, Creative-X
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 151300 - 261500
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented SDM 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 real-time leveraging nouvelle 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 self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
Job Responsibilities: Senior Machine Learning Engineer - Asset Sourcing & Insights
Overview
As an Senior Machine Learning Engineer on the CreativeX RAPID asset sourcing team you will be responsible for building and optimizing the infrastructure that powers image and layout sourcing while delivering actionable reporting and insights to drive creative performance.
Core Responsibilities
Asset Sourcing & Pipeline Development
Design develop and maintain scalable ML pipelines for automated asset sourcing including image and layout generation for selection
Own the end-to-end Latte pipeline implementation for asset lifecycle management across multiple stages
Implement and optimize asset indexing logic creative variant ID generation and asset candidate pool management
Develop algorithms to improve asset quality diversity and relevance for real-time ad personalization
Collaborate with upstream asset generation teams to ensure seamless integration and data flow
Machine Learning & Optimization
Apply advanced ML techniques including computer vision latent diffusion models and reinforcement learning to enhance asset pool performance
Build models to predict asset performance metrics (CTR conversion rates) and optimize asset allocation
Develop multi-modal optimization strategies combining images product titles and headlines
Implement A/B testing frameworks and experimentation methodologies to validate model improvements
Reporting & Insights
Design and build comprehensive dashboards and reporting systems to track asset lifecycle stages leakage analysis impression share selection rates and CTR performance
Develop metrics and KPIs to measure asset sourcing efficiency and creative effectiveness
Provide data-driven insights to stakeholders on asset performance optimization opportunities and pipeline health
Create automated alerting systems for pipeline anomalies and performance degradation
Technical Leadership & Collaboration
Mentor junior engineers and contribute to technical design reviews
Partner with AI-Gen AdFormat Realtime Serving and Reporting teams to ensure alignment on technical solutions
Drive best practices for ML model development deployment and monitoring
Contribute to the technical roadmap and architecture decisions for the asset sourcing platform
System Performance & Scalability
Ensure reliable asset sourcing pipelines to generate creative variants for real-time ad serving both on and off Amazon
Optimize pipeline performance to handle large-scale asset processing
Implement monitoring and observability solutions to maintain system reliability
Design solutions that scale with growing advertiser demand and catalog complexity
Key Deliverables
Production-ready ML models and pipelines for asset sourcing and insights
Comprehensive dashboards and reporting tools for asset performance tracking
Technical documentation and knowledge sharing with cross-functional teams
Measurable improvements in asset quality selection efficiency and creative performance metrics
About the team
About the team
In an ideal future AI Gen models have evolved to a state where entire creatives are generated on the fly and precisely tailored to the immediate preferences of each shopper. We bring this vision to life by sourcing a collection of pre-generated assets and assembling them in real time into personalized creative experiences for every customer. Our mission is to improve advertiser outcomes by tailoring the visuals to each shopper and publisher. The AI space is rapidly evolving and combining optimization with Amazons 1P audience data will be what enables us to leapfrog the competition. Through continuous creative optimization we expect to learn how users interact with content across a variety of context. Our upstream teams will provide us an endless variety of content informed by our learnings via AI generation transformation and deconstruction. Advertisers will receive easily digestible insights to improve their future creatives. We succeed when shoppers see creatives personalized to their intent publishers display creatives that match their unique look and feel and advertisers benefit from increased performance.
- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- 5 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 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 $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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 self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
Job Responsibilities: Senior Machine Learning Engineer - Asset Sourcing & Insights
Overview
As an Senior Machine Learning Engineer on the CreativeX RAPID asset sourcing team you will be responsible for building and optimizing the infrastructure that powers image and layout sourcing while delivering actionable reporting and insights to drive creative performance.
Core Responsibilities
Asset Sourcing & Pipeline Development
Design develop and maintain scalable ML pipelines for automated asset sourcing including image and layout generation for selection
Own the end-to-end Latte pipeline implementation for asset lifecycle management across multiple stages
Implement and optimize asset indexing logic creative variant ID generation and asset candidate pool management
Develop algorithms to improve asset quality diversity and relevance for real-time ad personalization
Collaborate with upstream asset generation teams to ensure seamless integration and data flow
Machine Learning & Optimization
Apply advanced ML techniques including computer vision latent diffusion models and reinforcement learning to enhance asset pool performance
Build models to predict asset performance metrics (CTR conversion rates) and optimize asset allocation
Develop multi-modal optimization strategies combining images product titles and headlines
Implement A/B testing frameworks and experimentation methodologies to validate model improvements
Reporting & Insights
Design and build comprehensive dashboards and reporting systems to track asset lifecycle stages leakage analysis impression share selection rates and CTR performance
Develop metrics and KPIs to measure asset sourcing efficiency and creative effectiveness
Provide data-driven insights to stakeholders on asset performance optimization opportunities and pipeline health
Create automated alerting systems for pipeline anomalies and performance degradation
Technical Leadership & Collaboration
Mentor junior engineers and contribute to technical design reviews
Partner with AI-Gen AdFormat Realtime Serving and Reporting teams to ensure alignment on technical solutions
Drive best practices for ML model development deployment and monitoring
Contribute to the technical roadmap and architecture decisions for the asset sourcing platform
System Performance & Scalability
Ensure reliable asset sourcing pipelines to generate creative variants for real-time ad serving both on and off Amazon
Optimize pipeline performance to handle large-scale asset processing
Implement monitoring and observability solutions to maintain system reliability
Design solutions that scale with growing advertiser demand and catalog complexity
Key Deliverables
Production-ready ML models and pipelines for asset sourcing and insights
Comprehensive dashboards and reporting tools for asset performance tracking
Technical documentation and knowledge sharing with cross-functional teams
Measurable improvements in asset quality selection efficiency and creative performance metrics
About the team
About the team
In an ideal future AI Gen models have evolved to a state where entire creatives are generated on the fly and precisely tailored to the immediate preferences of each shopper. We bring this vision to life by sourcing a collection of pre-generated assets and assembling them in real time into personalized creative experiences for every customer. Our mission is to improve advertiser outcomes by tailoring the visuals to each shopper and publisher. The AI space is rapidly evolving and combining optimization with Amazons 1P audience data will be what enables us to leapfrog the competition. Through continuous creative optimization we expect to learn how users interact with content across a variety of context. Our upstream teams will provide us an endless variety of content informed by our learnings via AI generation transformation and deconstruction. Advertisers will receive easily digestible insights to improve their future creatives. We succeed when shoppers see creatives personalized to their intent publishers display creatives that match their unique look and feel and advertisers benefit from increased performance.
- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- 5 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 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 $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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:
Senior IC
Key Skills
- Microsoft Office
- Graphics Design
- Copywritter
- Creative concept
- Advertising
- Communication
- Adobe Creative Suite
- Autodesk
- Art Direction
- Flash
- Flex
- HTML
- SEO
- Fine art
- Quarkxpress
About Company
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