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Applied Scientist II, WW Prime AIML Science
Job Location:
Job Location:
Seattle, OR - USA
Yearly Salary:
USD 142800 - 193200
Yearly Salary:
Posted:
16 September 2026 (14 hours ago)
Posted:
Application Deadline:
14 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Interested in modeling and understanding customer behavior through machine learning artificial intelligence and data mining over TB scale data with huge business impact on millions of customers Join our team of Scientists developing models to model customer behavior and optimize the customer experience with Amazon Prime. This includes understanding who our customers are long-term value of the Prime membership program and creating the right personalized framework for content and subscription optimization. As an AI/ML expert 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 optimizing/fine-tuning GenAI/LLM solutions for Prime personalization building GenAI foundation models global scalability of models combinatorial optimization cold start problem accelerated experimentation short/long term goals modeling and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from GenAI/LLMs supervised/semi-supervised learning deep learning transformer architectures using outcomes from causal Econometric modeling and Reinforcement learning.
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 Sagemaker DynamoDB S3 ClaudeCode) various AI/ML algorithms and techniques (Deep Learning GenAI/LLMs transformers supervised/unsupervised/semi-supervised/reinforcement learning) and statistical modeling techniques.
- Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
- Build and develop AI/ML models and supporting infrastructure at TB scale in coordination with software engineering teams.
- Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
- Develop offline policy estimation tools and integrate with measurement systems/econometric models.
- Establish scalable efficient automated processes for large scale data analyses science development science 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 AI/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.
Key job responsibilities
Key job responsibilities
- Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
- Build and develop AI/ML models and supporting infrastructure at TB scale in coordination with software engineering teams.
- Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
- Develop offline policy estimation tools and integrate with measurement systems/econometric models.
- Establish scalable efficient automated processes for large scale data analyses science development science 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 AI/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 high-performance computing
- Experience using Unix/Linux
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
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.
There are numerous scientific and technical challenges you will get to tackle in this role such as optimizing/fine-tuning GenAI/LLM solutions for Prime personalization building GenAI foundation models global scalability of models combinatorial optimization cold start problem accelerated experimentation short/long term goals modeling and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from GenAI/LLMs supervised/semi-supervised learning deep learning transformer architectures using outcomes from causal Econometric modeling and Reinforcement learning.
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 Sagemaker DynamoDB S3 ClaudeCode) various AI/ML algorithms and techniques (Deep Learning GenAI/LLMs transformers supervised/unsupervised/semi-supervised/reinforcement learning) and statistical modeling techniques.
- Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
- Build and develop AI/ML models and supporting infrastructure at TB scale in coordination with software engineering teams.
- Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
- Develop offline policy estimation tools and integrate with measurement systems/econometric models.
- Establish scalable efficient automated processes for large scale data analyses science development science 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 AI/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.
Key job responsibilities
Key job responsibilities
- Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
- Build and develop AI/ML models and supporting infrastructure at TB scale in coordination with software engineering teams.
- Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
- Develop offline policy estimation tools and integrate with measurement systems/econometric models.
- Establish scalable efficient automated processes for large scale data analyses science development science 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 AI/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 high-performance computing
- Experience using Unix/Linux
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
