Senior Applied Scientist, Alexa Enterprise Products (AEP)
Senior Applied Scientist, Alexa Enterprise Products (AEP)
Posted on :
10-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you looking for an opportunity to build an LLMbased enterprisegrade highly available large scale solution Does it excite you to find patterns and build generic composable solutions to solve complex problems Are you looking for inventing newer and simpler ways of building solutions If so we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We tackle pressing challenges like workforce shortage. We are inventing Large Language Models (LLM)driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties AE extends Alexas reach to premium thirdparty devices seamlessly integrating with household names like Samsung LG and Sonos thus amplifying its impact across diverse ecosystems.
AE team is looking for a passionate highly skilled and inventive Senior Applied Scientist with a strong machine learning background to lead the development and implementation of stateoftheart ML systems for Alexa Enterprise use cases.
As a Senior Applied Scientist in the team you will play a critical role in driving the development of conversational assistants in particular those based on Large Language Models (LLMs) that meet enterprise standards. You will handle Amazonscale use cases with significant impact on our customers experiences.
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 learningbased algorithms to deliver customerimpacting results
Perform model/data analysis and monitor metrics through online A/B testing
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Solid Machine Learning background and familiar with SOTA machine learning techniques
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 $150400/year in our lowest geographic market up to $260000/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.
AE team is looking for a passionate highly skilled and inventive Senior Applied Scientist with a strong machine learning background to lead the development and implementation of stateoftheart ML systems for Alexa Enterprise use cases.
As a Senior Applied Scientist in the team you will play a critical role in driving the development of conversational assistants in particular those based on Large Language Models (LLMs) that meet enterprise standards. You will handle Amazonscale use cases with significant impact on our customers experiences.
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 learningbased algorithms to deliver customerimpacting results
Perform model/data analysis and monitor metrics through online A/B testing
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Solid Machine Learning background and familiar with SOTA machine learning techniques
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 $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
