Senior Applied Scientist Amazon Devices Device Science and Data Technology
Senior Applied Scientist Amazon Devices Device Science and Data Technology
Posted on :
14-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
14-04-2025
Job Description
The Amazon Devices team designs and engineers highprofile consumer electronics including the bestselling Kindle family of products. We have also produced groundbreaking devices like Fire tablets Fire TV Amazon Dash and Amazon Echo.
What will you help us create
The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology Would you like to know more about how we are envisioning the use of machine learning and GenAI to solve these problems If this sounds intriguing then wed like to talk to you about a role on our team thats tackling a set of problems requiring significant innovation and scaling.
As a Sr. Applied Scientist you will design evangelize and implement stateoftheart solutions for neverbeforesolved problems helping Amazon Devices to provide great products. This role will be a key member of a Science and Data technology team based in Denver CO. You will work closely with other scientists machine learning experts and engineers to design and run experiments research new algorithms and find new ways to improve Amazon Device Services & Software products. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Our scientists work closely with software engineers to put algorithms into practice. They also work on crossdisciplinary efforts with other scientists within Amazon.
Key job responsibilities
Define proper output business metrics and build input models to identify patterns and drivers of the output.
Drive actions at scale using scientific methods and decisionmaking
Design and develop complex mathematical statistical Machine Learning GenAI models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions
Design experiments test hypotheses and build actionable models
Prototype these models by using modeling languages such as R or in software languages such as Python.
Work with software engineering teams to drive scalable realtime implementations
Utilizing Amazon systems and tools to effectively work with terabytes of data
5 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 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.
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.
What will you help us create
The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology Would you like to know more about how we are envisioning the use of machine learning and GenAI to solve these problems If this sounds intriguing then wed like to talk to you about a role on our team thats tackling a set of problems requiring significant innovation and scaling.
As a Sr. Applied Scientist you will design evangelize and implement stateoftheart solutions for neverbeforesolved problems helping Amazon Devices to provide great products. This role will be a key member of a Science and Data technology team based in Denver CO. You will work closely with other scientists machine learning experts and engineers to design and run experiments research new algorithms and find new ways to improve Amazon Device Services & Software products. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Our scientists work closely with software engineers to put algorithms into practice. They also work on crossdisciplinary efforts with other scientists within Amazon.
Key job responsibilities
Define proper output business metrics and build input models to identify patterns and drivers of the output.
Drive actions at scale using scientific methods and decisionmaking
Design and develop complex mathematical statistical Machine Learning GenAI models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions
Design experiments test hypotheses and build actionable models
Prototype these models by using modeling languages such as R or in software languages such as Python.
Work with software engineering teams to drive scalable realtime implementations
Utilizing Amazon systems and tools to effectively work with terabytes of data
5 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 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.
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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