Applied Scientist Prime Tech Amazon Prime
Applied Scientist Prime Tech Amazon Prime
Posted on :
01-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 222200
Vacancy
1 Vacancy
Posted on :
01-05-2025
Job Description
Interested in helping build Primes content and offer experimentation system to drive huge business impact on millions of customers Join our team of Scientists and Engineers developing algorithms to adaptively generate and experiment on new content personalize and optimize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML lead you will partner directly with product owners to intake build and directly apply your modeling solutions.
There are numerous scientific and technical challenges you will get to tackle in this role such as adaptive experimentation structured multiarmed bandits and its application to various types of experimentation and multistep optimization leading to reinforcement learning of the customer journey. We employ techniques from LLMs Gen AI deep learning multiarmed bandits optimization and RL.
As the central science team within Prime our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.
You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark Redshift Sagemaker DynamoDB S3 ... various ML algorithms and techniques (Random Forests Neural Networks supervised/unsupervised/semisupervised/reinforcement learning LLMs) and statistical modeling techniques.
Major responsibilities
Build and develop machine learning models and supporting infrastructure at TB scale in coordination with software engineering teams.
Leverage Bandits and Reinforcement Learning for Experimentation and Optimization Systems.
Develop offline policy estimation tools and integrate with reporting systems.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key processes.
Work closely with the business to understand their problem space identify the opportunities and formulate the problems.
Use machine learning data mining statistical techniques and others to create actionable meaningful and scalable solutions for the business problems.
Design develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
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 $136000/year in our lowest geographic market up to $222200/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.
There are numerous scientific and technical challenges you will get to tackle in this role such as adaptive experimentation structured multiarmed bandits and its application to various types of experimentation and multistep optimization leading to reinforcement learning of the customer journey. We employ techniques from LLMs Gen AI deep learning multiarmed bandits optimization and RL.
As the central science team within Prime our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.
You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark Redshift Sagemaker DynamoDB S3 ... various ML algorithms and techniques (Random Forests Neural Networks supervised/unsupervised/semisupervised/reinforcement learning LLMs) and statistical modeling techniques.
Major responsibilities
Build and develop machine learning models and supporting infrastructure at TB scale in coordination with software engineering teams.
Leverage Bandits and Reinforcement Learning for Experimentation and Optimization Systems.
Develop offline policy estimation tools and integrate with reporting systems.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation.
Analyze and extract relevant information from large amounts of Amazons historical business data to help automate and optimize key processes.
Work closely with the business to understand their problem space identify the opportunities and formulate the problems.
Use machine learning data mining statistical techniques and others to create actionable meaningful and scalable solutions for the business problems.
Design develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
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 $136000/year in our lowest geographic market up to $222200/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.
Employment Type
Full-Time
Key Skills
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