Sr. Applied Scientist, Amazon Publisher Monetization - Ads
Sr. Applied Scientist, Amazon Publisher Monetization - Ads
Posted on :
22-07-2025
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 is a complex multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers are shifting from traditional TV viewing to streaming video and publishers are increasingly adding video content to their online experiences. Amazons video advertising is a rising competitor in this industry. Amazons service has differentiated assets in our customer & audience insights exclusive video content and associated inventory that position us well as an end-to-end service for advertisers and agencies. We are innovating at the intersection of advertising e-commerce and entertainment.
Amazon Publisher Monetization (APM) is looking for a a passionate and experienced science leader who is adept at a variety of skills; especially in generative AI computer vision and large language models that will accelerate our plans to maximize yield via AI-driven context targeting. The ideal candidate will be our teams scientist #1 - a self-starter we can build a team around - an inventor at heart they will provide science leadership establish compelling direction and vision rapidly prototype and iterate foster the spirit of collaboration and innovation within our larger sister teams and their scientists and execute against a compelling product roadmap designed to bring AI-led science innovation to solve one of the most challenging problems in advertising.
Key job responsibilities
This role is focused on shaping our approach to the solving the trifecta of advertising - serving the right ad to the right viewer at the right moment - delivering engaging ads for viewers improved performance for advertisers and maximizing the yield of our supply inventory.
Responsibilities include:
* Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads.
* Drive end-to-end applied science projects that have a high degree of ambiguity scale complexity.
* Provide technical/science leadership related to computer vision large language models and contextual targeting.
* Research new and innovative machine learning approaches.
* Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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.
Amazon Publisher Monetization (APM) is looking for a a passionate and experienced science leader who is adept at a variety of skills; especially in generative AI computer vision and large language models that will accelerate our plans to maximize yield via AI-driven context targeting. The ideal candidate will be our teams scientist #1 - a self-starter we can build a team around - an inventor at heart they will provide science leadership establish compelling direction and vision rapidly prototype and iterate foster the spirit of collaboration and innovation within our larger sister teams and their scientists and execute against a compelling product roadmap designed to bring AI-led science innovation to solve one of the most challenging problems in advertising.
Key job responsibilities
This role is focused on shaping our approach to the solving the trifecta of advertising - serving the right ad to the right viewer at the right moment - delivering engaging ads for viewers improved performance for advertisers and maximizing the yield of our supply inventory.
Responsibilities include:
* Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads.
* Drive end-to-end applied science projects that have a high degree of ambiguity scale complexity.
* Provide technical/science leadership related to computer vision large language models and contextual targeting.
* Research new and innovative machine learning approaches.
* Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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
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.
