Senior Applied Scientist, Alexa Smart Home
Senior Applied Scientist, Alexa Smart Home
Posted on :
17-05-2025
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1 Vacancy
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Job Description
The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights turn down the heat) to use cases spanning home security home entertainment and the home environment we are evolving Alexa into intelligent indispensable companion that automates daily routines simplifies interaction with appliances and electronics and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers.
As a Senior Applied Scientist you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And you will have the satisfaction of working on a product your friends and family can relate to and want to use every day.
Key job responsibilities
Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation
Developing robust techniques for synthetic data generation for training large models and maintaining model generalization
Mentoring junior scientists to improve their skills knowledge and their ability to get things done
About the team
We are a team of Scientists Machine Learning Engineers and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence with features like Alexa Hunches that automatically control Smart Home devices.
We are interdisciplinary and we act like it we ask each other questions and value our different perspectives.
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
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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.
As a Senior Applied Scientist you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And you will have the satisfaction of working on a product your friends and family can relate to and want to use every day.
Key job responsibilities
Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation
Developing robust techniques for synthetic data generation for training large models and maintaining model generalization
Mentoring junior scientists to improve their skills knowledge and their ability to get things done
About the team
We are a team of Scientists Machine Learning Engineers and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence with features like Alexa Hunches that automatically control Smart Home devices.
We are interdisciplinary and we act like it we ask each other questions and value our different perspectives.
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
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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
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