Applied Scientist I Alexa AI Domains
Applied Scientist I Alexa AI Domains
Posted on :
09-04-2025
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1 Vacancy
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Job Description
The Alexa AI Domains seeks a passionate talented and resourceful Applied Scientist in the field of LLM Artificial Intelligence (AI) Natural Language Processing (NLP) and/or Information Retrieval to invent and build scalable solutions for a stateoftheart contextaware conversational AI.
As part of this team you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant aiming to revolutionize user experiences for millions of Alexa customers.
The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fastpaced environments possess the drive to tackle complex challenges and excel at swiftly delivering impactful solutions while iterating based on user feedback.
Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.
Key job responsibilities
. You will analyze understand and improve user experiences by leveraging Amazons heterogeneous data sources and largescale computing resources to accelerate advances in artificial intelligence.
. You will work on core LLM technologies including developing bestinclass modeling prompt optimization algorithms to enable Conversation AI use cases
Build and measure novel online & offline metrics for personal digital assistants and customer scenarios on diverse devices and endpoints
Create innovate and deliver deep learning policybased learning and/or machine learning based algorithms to deliver customerimpacting results
Perform model/data analysis and monitor metrics through online A/B testing
Research and implement novel machine learning and deep learning algorithms and models.
Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
Experience programming in Java C Python or related language
Experience implementing algorithms using both toolkits and selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
As part of this team you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant aiming to revolutionize user experiences for millions of Alexa customers.
The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fastpaced environments possess the drive to tackle complex challenges and excel at swiftly delivering impactful solutions while iterating based on user feedback.
Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.
Key job responsibilities
. You will analyze understand and improve user experiences by leveraging Amazons heterogeneous data sources and largescale computing resources to accelerate advances in artificial intelligence.
. You will work on core LLM technologies including developing bestinclass modeling prompt optimization algorithms to enable Conversation AI use cases
Build and measure novel online & offline metrics for personal digital assistants and customer scenarios on diverse devices and endpoints
Create innovate and deliver deep learning policybased learning and/or machine learning based algorithms to deliver customerimpacting results
Perform model/data analysis and monitor metrics through online A/B testing
Research and implement novel machine learning and deep learning algorithms and models.
Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
Experience programming in Java C Python or related language
Experience implementing algorithms using both toolkits and selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Employment Type
Full-Time
Key Skills
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