Senior Applied Scientist, SB Response Prediction and Auction Science Team
Senior Applied Scientist, SB Response Prediction and Auction Science Team
Posted on :
06-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
06-05-2025
Job Description
Amazon Advertising is one of Amazons fastest growing and most profitable businesses responsible for defining and delivering a collection of advertising products that drive discovery and sales. Amazon Advertising is at the forefront of shaping the future of advertising technology and our Auction team in Sponsored Brands is pivotal in driving this innovation.
SB Auction teams role is to develop optimized and fair auction systems for sponsored brands that deliver value for advertisers while enhancing the shopping experience for customers. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations facilitate business growth and promote technology innovation.
Key job responsibilities
Key job responsibilities
As a Senior Applied Scientist on this team you typically play a key role in optimizing ad delivery improving targeting accuracy and maximizing revenue generation for advertisers all while maintaining a seamless user experience you will:
Develop optimization techniques (e.g. multiobjective optimization) to balance multiple goals such as maximizing revenue for advertisers increasing user engagement and maintaining fair ad distribution.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Run A/B experiments finetune the models for realworld effectiveness ensuring that the ad auction system works optimally in production environments.
Run largescale experiments to test different auction strategies bidding algorithms and ad targeting techniques using methodologies like multiarm bandit or reinforcement learning.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving
Communicate results and insights clearly to nontechnical stakeholders including product managers advertisers and executives helping them understand the impact of datadriven decisions.
Research new and innovative machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.
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 scikitlearn Spark MLLib MxNet Tensorflow numpy scipy 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
SB Auction teams role is to develop optimized and fair auction systems for sponsored brands that deliver value for advertisers while enhancing the shopping experience for customers. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations facilitate business growth and promote technology innovation.
Key job responsibilities
Key job responsibilities
As a Senior Applied Scientist on this team you typically play a key role in optimizing ad delivery improving targeting accuracy and maximizing revenue generation for advertisers all while maintaining a seamless user experience you will:
Develop optimization techniques (e.g. multiobjective optimization) to balance multiple goals such as maximizing revenue for advertisers increasing user engagement and maintaining fair ad distribution.
Build machine learning models perform proofofconcept experiment optimize and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
Run A/B experiments finetune the models for realworld effectiveness ensuring that the ad auction system works optimally in production environments.
Run largescale experiments to test different auction strategies bidding algorithms and ad targeting techniques using methodologies like multiarm bandit or reinforcement learning.
Establish scalable efficient automated processes for largescale data analysis machinelearning model development model validation and serving
Communicate results and insights clearly to nontechnical stakeholders including product managers advertisers and executives helping them understand the impact of datadriven decisions.
Research new and innovative machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.
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 scikitlearn Spark MLLib MxNet Tensorflow numpy scipy 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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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
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