Manager Applied Science Amazon Advertising
Manager Applied Science Amazon Advertising
Posted on :
28-04-2025
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1 Vacancy
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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. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive longterm growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
As an Applied Science Manager in Machine Learning you will:
Directly manage and lead a crossfunctional team of Applied Scientists Data Scientists Economists and Business Intelligence Engineers.
Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.
Lead marketplace design and development based on economic theory and data analysis.
Provide technical and scientific guidance to team members.
Rapidly design prototype and test many possible hypotheses in a highambiguity environment making use of both quantitative and business judgment
Advance the teams engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
Develop science and engineering roadmaps run annual planning and foster crossteam collaboration to execute complex projects.
Perform handson data analysis build machinelearning models run regular A/B tests and communicate the impact to senior management.
Collaborate with business and software teams across Amazon Ads.
Stay up to date with recent scientific publications relevant to the team.
Hire and develop top talent provide technical and career development guidance to scientists and engineers within and across the organization.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customerfacing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastestgrowing businesses across all of Amazon! Define a longterm science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
Team video
4 years of applied research experience
3 years of scientists or machine learning engineers management experience
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience programming in Java C Python or related language
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $165500/year in our lowest geographic market up to $286000/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.
As an Applied Science Manager in Machine Learning you will:
Directly manage and lead a crossfunctional team of Applied Scientists Data Scientists Economists and Business Intelligence Engineers.
Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.
Lead marketplace design and development based on economic theory and data analysis.
Provide technical and scientific guidance to team members.
Rapidly design prototype and test many possible hypotheses in a highambiguity environment making use of both quantitative and business judgment
Advance the teams engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
Develop science and engineering roadmaps run annual planning and foster crossteam collaboration to execute complex projects.
Perform handson data analysis build machinelearning models run regular A/B tests and communicate the impact to senior management.
Collaborate with business and software teams across Amazon Ads.
Stay up to date with recent scientific publications relevant to the team.
Hire and develop top talent provide technical and career development guidance to scientists and engineers within and across the organization.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customerfacing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastestgrowing businesses across all of Amazon! Define a longterm science vision for our advertising business driven from our customers needs translating that direction into specific plans for research and applied scientists as well as engineering and product teams. This role combines science leadership organizational ability technical strength product focus and business understanding.
Team video
4 years of applied research experience
3 years of scientists or machine learning engineers management experience
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience programming in Java C Python or related language
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $165500/year in our lowest geographic market up to $286000/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:
Manager
Employment Type
Full-Time
Key Skills
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