Applied Scientist, Amazon Ads - Creative X
Applied Scientist, Amazon Ads - Creative X
Posted on :
14-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Advertising at Amazon is a fastgrowing multibillion dollar business that spans across desktop mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of thirdparty publishers; and extends across US EU and an increasing number of international geographies. The Creative X team has the charter to improve the quality of advertising creatives by detecting and fixing issues in advertisersupplied creatives raising the bar on the advertising customer experience.
Our team is looking for Applied Scientists to research and develop the next generation of ML and LLMbased Judge systems that identify and correct issues with advertising creatives. Working with other scientists and engineers you will bridge the gap between AI research and realwork applications at significant scale. You will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives.
Key job responsibilities
Use statistical analysis machine learning and LLM techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of both structured and unstructured data
Design experiment and evaluate highly innovative models for regression and classification challenges
Maintain evaluate and improve existing models
Research and implement novel machine learning and statistical approaches
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation together with software engineering teams
PhD or a Masters degree and experience in CS CE ML or related field
Experience in patents or publications at toptier peerreviewed 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 highperformance computing
Experience in building machine learning models for business application
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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 team is looking for Applied Scientists to research and develop the next generation of ML and LLMbased Judge systems that identify and correct issues with advertising creatives. Working with other scientists and engineers you will bridge the gap between AI research and realwork applications at significant scale. You will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives.
Key job responsibilities
Use statistical analysis machine learning and LLM techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of both structured and unstructured data
Design experiment and evaluate highly innovative models for regression and classification challenges
Maintain evaluate and improve existing models
Research and implement novel machine learning and statistical approaches
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation together with software engineering teams
PhD or a Masters degree and experience in CS CE ML or related field
Experience in patents or publications at toptier peerreviewed 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 highperformance computing
Experience in building machine learning models for business application
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
