Amazon Jobs
Machine Learning Engineer - GenAI, Creative-X, Amazon Advertising
Amazon Jobs, Seattle, Washington, us, 98127
Overview
Find out more about this role by reading the information below, then apply to be considered. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Our advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of products sold through Amazon. The primary goals are to help shoppers discover products they love, provide an efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates for customers.
Our products and solutions enable Amazon's Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks while pursuing continuous 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. We are investing in latent-diffusion models, large language models (LLMs), generative audio, 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 leading in their fields.
Role We are looking for a talented Machine Learning Engineer who can deploy and productize Generative AI models for advertising at scale. Every team member is expected to build advertiser-facing features, contribute to a collaborative culture, productize and deploy at scale, and bring production-grade research to raise the bar within the team.
Key responsibilities
Work closely with Applied Scientists and other MLEs 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, ML model development, model validation, and serving.
Research new approaches for 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.
Why you will love this opportunity Amazon is investing in a world-class advertising business. This team defines and delivers products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions and millions of clicks daily, and we continuously innovate to create world-class products. We are a motivated, collaborative, and fun-loving team with an entrepreneurial spirit and a mandate to experiment and innovate.
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 to improve the quality of creatives within Amazon Ads.
Qualifications
3+ years of non-internship professional software development experience.
2+ years of design or architecture experience (design patterns, reliability and scaling) of new and existing systems.
Experience programming with at least one software language.
Experience with data curation processes.
Experience setting up distributed training infrastructure.
Familiarity with deep learning and machine learning models.
Experience with ML code optimization for efficiency.
3+ years of full software development lifecycle experience (coding standards, code reviews, source control, build processes, testing, operations).
Bachelor's degree in computer science or equivalent.
Experience handling and organizing video assets.
Ideally familiar with Amazon systems and production deployment methods.
Equal Opportunity 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation and benefits Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on factors including market location and may vary with knowledge, skills, and experience. Amazon is a total compensation company. Depending 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 medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Find out more about this role by reading the information below, then apply to be considered. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Our advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of products sold through Amazon. The primary goals are to help shoppers discover products they love, provide an efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates for customers.
Our products and solutions enable Amazon's Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks while pursuing continuous 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. We are investing in latent-diffusion models, large language models (LLMs), generative audio, 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 leading in their fields.
Role We are looking for a talented Machine Learning Engineer who can deploy and productize Generative AI models for advertising at scale. Every team member is expected to build advertiser-facing features, contribute to a collaborative culture, productize and deploy at scale, and bring production-grade research to raise the bar within the team.
Key responsibilities
Work closely with Applied Scientists and other MLEs 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, ML model development, model validation, and serving.
Research new approaches for 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.
Why you will love this opportunity Amazon is investing in a world-class advertising business. This team defines and delivers products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions and millions of clicks daily, and we continuously innovate to create world-class products. We are a motivated, collaborative, and fun-loving team with an entrepreneurial spirit and a mandate to experiment and innovate.
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 to improve the quality of creatives within Amazon Ads.
Qualifications
3+ years of non-internship professional software development experience.
2+ years of design or architecture experience (design patterns, reliability and scaling) of new and existing systems.
Experience programming with at least one software language.
Experience with data curation processes.
Experience setting up distributed training infrastructure.
Familiarity with deep learning and machine learning models.
Experience with ML code optimization for efficiency.
3+ years of full software development lifecycle experience (coding standards, code reviews, source control, build processes, testing, operations).
Bachelor's degree in computer science or equivalent.
Experience handling and organizing video assets.
Ideally familiar with Amazon systems and production deployment methods.
Equal Opportunity 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation and benefits Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on factors including market location and may vary with knowledge, skills, and experience. Amazon is a total compensation company. Depending 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 medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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