Senior Applied Scientist Delivery Experience
Senior Applied Scientist Delivery Experience
Posted on :
27-04-2025
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1 Vacancy
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Job Description
Our mission is to provide consistent accurate and relevant delivery information to every single page on every Amazonowned site.
MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems and also wants to see and measure their direct impact on customers.
We are a crossfunctional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the onsite experience from a central service business and technical team members are integrated so everyone is involved through the entire development process.
You will have a chance to develop the stateofart machine learning including deep learning and reinforcement learning models to build targeting recommendation and optimization services to impact millions of Amazon customers.
Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazonowned site
Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create stateofart algorithms to solve real world problems
Do you like to own endtoend business problems/metrics and directly impact the profitability of the company
Do you like to innovate and simplify
If yes then you may be a great fit to join the DEX AI team.
Key job responsibilities
Research and implement machine learning techniques to create scalable and effective models in Delivery Experience (DEX) systems
Solve business problems and identify business opportunities to provide the best delivery experience on all Amazonowned sites.
Design and develop highly innovative machine learning and deep learning models for big data.
Build stateofart ranking and recommendations models and apply to Amazon search engine.
Analyze and understand large amounts of Amazons historical business data to detect patterns to analyze trends and to identify correlations and causalities
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
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 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.
MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems and also wants to see and measure their direct impact on customers.
We are a crossfunctional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the onsite experience from a central service business and technical team members are integrated so everyone is involved through the entire development process.
You will have a chance to develop the stateofart machine learning including deep learning and reinforcement learning models to build targeting recommendation and optimization services to impact millions of Amazon customers.
Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to deliver the best delivery experience on every Amazonowned site
Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create stateofart algorithms to solve real world problems
Do you like to own endtoend business problems/metrics and directly impact the profitability of the company
Do you like to innovate and simplify
If yes then you may be a great fit to join the DEX AI team.
Key job responsibilities
Research and implement machine learning techniques to create scalable and effective models in Delivery Experience (DEX) systems
Solve business problems and identify business opportunities to provide the best delivery experience on all Amazonowned sites.
Design and develop highly innovative machine learning and deep learning models for big data.
Build stateofart ranking and recommendations models and apply to Amazon search engine.
Analyze and understand large amounts of Amazons historical business data to detect patterns to analyze trends and to identify correlations and causalities
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
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 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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