Senior Applied Scientist App Advertising
Senior Applied Scientist App Advertising
Posted on :
17-04-2025
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1 Vacancy
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Job Description
Want to work in a startup environment with the resources of Amazon behind you Do you want to have direct and immediate impact on millions of customers every day If you are a selfstarter passionate about machine learning big data systems enjoy designing and implementing new features and machine learned models and intrigued by ambiguous problems look no further.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital display audio video advertising solutions with the goal of helping our customers find and discover anything they want. We help advertisers reach Amazon customers on across our other owned and operated sites on other high quality sites across the web and on millions of devices (Kindles Fire tablets Fire TV Alexa Mobile Twitch and more). We start with the customer and work backwards in everything we do including advertising.
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.
Key job responsibilities
As an Applied Scientist on this team you will:
Design develop and maintain scalable Machine Learning models with automated training validation monitoring and reporting.
Work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques
Collaborate with product managers and engineering teams to design and implement software solutions for Amazon problem
Provide technical and scientific guidance to junior team members
Contribute to the research community by working with other scientists across Amazon
Publish papers at peer reviewed journals and conferences
A day in the life
This role combines science leadership organizational ability technical strength product focus and business understanding.
Youll be a lead scientist on the team tackling some of the hardest problems in mobile advertising; recommending the right app for users to download and the right offer for the users to avail off in mobile apps on their devices. This is especially challenging when accommodating the users privacy preferences.
You will define a longterm science vision for our app 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.
About the team
App Advertising enables app developers/advertisers to leverage Amazon Ads for promoting their apps and drive user engagement. To do this we are developing tools and integrations across the Amazon Ads stack. We are a hybrid science and engineering team based in Seattle Palo Alto and New York.
This is a revenue generating program that spans across multiple teams/organizations providing you the opportunity to impact a growing business and potentially even the mobile app advertising industry.
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.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital display audio video advertising solutions with the goal of helping our customers find and discover anything they want. We help advertisers reach Amazon customers on across our other owned and operated sites on other high quality sites across the web and on millions of devices (Kindles Fire tablets Fire TV Alexa Mobile Twitch and more). We start with the customer and work backwards in everything we do including advertising.
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.
Key job responsibilities
As an Applied Scientist on this team you will:
Design develop and maintain scalable Machine Learning models with automated training validation monitoring and reporting.
Work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques
Collaborate with product managers and engineering teams to design and implement software solutions for Amazon problem
Provide technical and scientific guidance to junior team members
Contribute to the research community by working with other scientists across Amazon
Publish papers at peer reviewed journals and conferences
A day in the life
This role combines science leadership organizational ability technical strength product focus and business understanding.
Youll be a lead scientist on the team tackling some of the hardest problems in mobile advertising; recommending the right app for users to download and the right offer for the users to avail off in mobile apps on their devices. This is especially challenging when accommodating the users privacy preferences.
You will define a longterm science vision for our app 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.
About the team
App Advertising enables app developers/advertisers to leverage Amazon Ads for promoting their apps and drive user engagement. To do this we are developing tools and integrations across the Amazon Ads stack. We are a hybrid science and engineering team based in Seattle Palo Alto and New York.
This is a revenue generating program that spans across multiple teams/organizations providing you the opportunity to impact a growing business and potentially even the mobile app advertising industry.
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.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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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