Sr. Manager, Applied Science, Selection Monitoring
Sr. Manager, Applied Science, Selection Monitoring
Posted on :
10-05-2025
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1 Vacancy
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Job Description
The Amazon Selection and Catalog Systems team (ASCS) builds global selection and catalog management systems. The Selection Monitoring team is responsible for building the biggest product selection on the planet to satisfy our customers all shopping needs. We build platforms systems and tools to create and take advantage of datasets that contains billions of records use the latest machine learning data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection we use clustercomputing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering Natural Language processing Fuzzy matching and Image processing at a massive scale.
We are looking for a Senior Manager Applied Science to tackle ambiguous problems in the areas of data processing machine learning algorithms and distributed systems of cloudscale. You are expected to take ownership dive deep and drive solutions from developing prototypes doing experiments design to coding testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon topline & bottom line.
5 years of scientists or machine learning engineers management experience
Knowledge of ML LLM NLP Information Retrieval and Analytics
Experience building machine learning models or developing algorithms for business application
Experience building complex software systems especially involving deep learning machine learning large language model and computer vision that have been successfully delivered to customers
Experience directly managing scientists or machine learning engineers (5 years)
Experience directly managing science managers (2 years)
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.
We are looking for a Senior Manager Applied Science to tackle ambiguous problems in the areas of data processing machine learning algorithms and distributed systems of cloudscale. You are expected to take ownership dive deep and drive solutions from developing prototypes doing experiments design to coding testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon topline & bottom line.
5 years of scientists or machine learning engineers management experience
Knowledge of ML LLM NLP Information Retrieval and Analytics
Experience building machine learning models or developing algorithms for business application
Experience building complex software systems especially involving deep learning machine learning large language model and computer vision that have been successfully delivered to customers
Experience directly managing scientists or machine learning engineers (5 years)
Experience directly managing science managers (2 years)
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.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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