Applied Scientist Gen AI Amazon Advertising, CreativeX
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
Amazon Advertising is one of Amazons fastest growing 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 time aims to democratize access to high-quality creatives (audio images videos text) by building AI-driven solutions for advertisers. To accomplish this we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models large language models (LLM) generative audio (music and speech synthesis) computer vision (CV) reinforced learning (RL) and related.
As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers UX and engineers who are highly collaborative and at the top of their respective fields.
We are looking for talented Applied Scientists who are adept at a variety of skills especially at the development and use of multi-modal Generative AI and can use state-of-the-art generative music and audio computer vision latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team publish patent and bring SOTA research to raise the bar within the team.
As an Applied Scientist on this team you will:
- Drive the invention and development of novel multi-modal agentic architectures and models for the use of Generative AI methods in advertising.
- Work closely and integrate end-to-end proof-of-concept Machine Learning projects that have a high degree of ambiguity scale and complexity.
- Build interface-oriented systems that use Machine Learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Curate relevant multi-modal datasets.
- Perform hands-on analysis and modeling of experiments with human-in-the-loop that eg increase traffic monetization and merchandise sales without compromising the shopper experience.
- Run A/B experiments gather data and perform statistical analysis.
- Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving.
- Mentor and help recruit Applied Scientists to the team.
- Present results and explain methods to senior leadership.
- Willingness to publish research at internal and external top scientific venues.
- Write and pursue IP submissions.
Key job responsibilities
This role is focused on developing new multi-modal Generative AI methods to augment generative imagery and videos. You will develop new multi-modal paradigms models datasets and agentic architectures that will be at the core of advertising-facing tools that we are launching. You may also work on development of ML and GenAI models suitable for advertising. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers UX designers and engineers who will partner with you to productize your work.
For reference see our products: Enhanced Video Generator Creative Agent and Creative Studio.
A day in the life
On a day-to-day basis you will be doing your independent research and work to develop models you will participate in sprint planning collaborative sessions with your peers and demo new models and share results with peers other partner teams and leadership.
About the team
The team is a dynamic team of applied scientists UX researchers engineers and product leaders. We reside in the Creative X organization which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
We are open to hiring candidates to work out of one of the following locations:
UK (London) USA (Seattle).
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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 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 time aims to democratize access to high-quality creatives (audio images videos text) by building AI-driven solutions for advertisers. To accomplish this we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models large language models (LLM) generative audio (music and speech synthesis) computer vision (CV) reinforced learning (RL) and related.
As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers UX and engineers who are highly collaborative and at the top of their respective fields.
We are looking for talented Applied Scientists who are adept at a variety of skills especially at the development and use of multi-modal Generative AI and can use state-of-the-art generative music and audio computer vision latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features contribute to the collaborative spirit within the team publish patent and bring SOTA research to raise the bar within the team.
As an Applied Scientist on this team you will:
- Drive the invention and development of novel multi-modal agentic architectures and models for the use of Generative AI methods in advertising.
- Work closely and integrate end-to-end proof-of-concept Machine Learning projects that have a high degree of ambiguity scale and complexity.
- Build interface-oriented systems that use Machine Learning models perform proof-of-concept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Curate relevant multi-modal datasets.
- Perform hands-on analysis and modeling of experiments with human-in-the-loop that eg increase traffic monetization and merchandise sales without compromising the shopper experience.
- Run A/B experiments gather data and perform statistical analysis.
- Establish scalable efficient automated processes for large-scale data analysis machine-learning model development model validation and serving.
- Mentor and help recruit Applied Scientists to the team.
- Present results and explain methods to senior leadership.
- Willingness to publish research at internal and external top scientific venues.
- Write and pursue IP submissions.
Key job responsibilities
This role is focused on developing new multi-modal Generative AI methods to augment generative imagery and videos. You will develop new multi-modal paradigms models datasets and agentic architectures that will be at the core of advertising-facing tools that we are launching. You may also work on development of ML and GenAI models suitable for advertising. You will conduct literature reviews to stay on the SOTA of the field. You will regularly engage with product managers UX designers and engineers who will partner with you to productize your work.
For reference see our products: Enhanced Video Generator Creative Agent and Creative Studio.
A day in the life
On a day-to-day basis you will be doing your independent research and work to develop models you will participate in sprint planning collaborative sessions with your peers and demo new models and share results with peers other partner teams and leadership.
About the team
The team is a dynamic team of applied scientists UX researchers engineers and product leaders. We reside in the Creative X organization which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.
We are open to hiring candidates to work out of one of the following locations:
UK (London) USA (Seattle).
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA SEATTLE - 142800.00 - 193200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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