Applied Scientist, Amazon Prime, Prime AIML Science

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 and Engineers developing models to predict customer behavior and optimize the customer experience with Amazon Prime. This includes identifying who our customers are modeling customer behavior and creating personalization systems to optimize the experience. As an 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 global scalability of models combinatorial optimization cold start problem accelerated experimentation short/long term goals modeling GenAI based content creation foundation modeling and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from GenAI LLMs deep learning supervised learning 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 AI/ML technologies and infrastructure: AWS technologies (EMR/Spark Redshift Sagemaker DynamoDB S3 ...) various AI/ML algorithms and techniques (GenAI LLMs transformers sequential models Neural Networks supervised/unsupervised/semi-supervised/reinforcement learning) and statistical modeling techniques.

Major responsibilities


- Build and develop AI and machine learning models and supporting infrastructure at TB scale in coordination with software engineering teams.

- Leverage GenAI LLMs deep learning reinforcement learning for building production AI/ML systems

- Develop backtesting/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 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.


- Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

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 - 136000.00 - 184000.00 USD annually