Sr. MLE, GenAI, Creative-X, Amazon Advertising, Creative-X
Sr. MLE, GenAI, Creative-X, Amazon Advertising, Creative-X
Posted on :
16-07-2025
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1 Vacancy
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Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable 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 long-term 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 aims to democratize access to high-quality creatives (audio images videos description) by building AI-driven solutions for advertisers. To accomplish this we are investing in latent-diffusion models large language models (LLM) generative audio (music and speech synthesis) computer vision (CV) reinforced learning (RL) and related methods.
You will be part of a close-knit team of applied scientists product managers other MLEs and stakeholders who are highly collaborative and at the top of their respective fields.
We are looking for talented Machine Learning Engineer who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale.
Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team productize deploy at scale and bring cutting edge production-grade research to raise the bar within the team.
Key job responsibilities
As a MLE in the team you will:
Work closely with Applied Scientists and other MLE and Engineering team members to transform research code into production.
Own end to end deployment at scale of Generative and ML methods.
Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving.
Research new and innovative approaches to do efficient model deployment and training.
Document processes and methods for technical and non technical audiences.
Contribute to code reviews.
Mentor and help recruit MLEs to the team.
Present outcomes and explain approaches to senior leadership.
- 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 products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term 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 aims to democratize access to high-quality creatives (audio images videos description) by building AI-driven solutions for advertisers. To accomplish this we are investing in latent-diffusion models large language models (LLM) generative audio (music and speech synthesis) computer vision (CV) reinforced learning (RL) and related methods.
You will be part of a close-knit team of applied scientists product managers other MLEs and stakeholders who are highly collaborative and at the top of their respective fields.
We are looking for talented Machine Learning Engineer who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale.
Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team productize deploy at scale and bring cutting edge production-grade research to raise the bar within the team.
Key job responsibilities
As a MLE in the team you will:
Work closely with Applied Scientists and other MLE and Engineering team members to transform research code into production.
Own end to end deployment at scale of Generative and ML methods.
Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving.
Research new and innovative approaches to do efficient model deployment and training.
Document processes and methods for technical and non technical audiences.
Contribute to code reviews.
Mentor and help recruit MLEs to the team.
Present outcomes and explain approaches to senior leadership.
- 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
Employment Type
Full-Time
Department / Functional Area
Key Skills
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