Applied Scientist Selling Partner Support Engagement Science
Applied Scientist Selling Partner Support Engagement Science
Posted on :
14-04-2025
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1 Vacancy
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Job Description
At Amazon we strive every day to be Earths most customer centric company. Selling Partner Support Engagement (SPSE) Science delivers on this by building AIenhanced experiences and automation that help to provide world class support to our global network of selling partners. We building at the forefront of Gen AI applications working to tackle the many challenges that we confront caused by the volume diversity and complexity of our selling partners needs and we are always striving to do better.
Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning natural language processing and generative models A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases Are you interested in helping us redefine what world class support can be in an age of automation and AI while prizing human empathy and ingenuity
The SPSE Science Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face to augment our human workforce with smarter tools to anticipate problems so that we are prepared to deal with them to automatically diagnose and resolve issues and to identify opportunities to grow and improve.
In this role you will have ownership of the endtoend development of solutions to complex problems and you will play an integral role in strategic decisionmaking. You will also work closely with engineers operations teams product owners to build ML pipelines platforms and solutions that solve problems of defect detection automation and workforce optimization.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Experience building machine learning models or developing algorithms for business application
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 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.
The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning natural language processing and generative models A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases Are you interested in helping us redefine what world class support can be in an age of automation and AI while prizing human empathy and ingenuity
The SPSE Science Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face to augment our human workforce with smarter tools to anticipate problems so that we are prepared to deal with them to automatically diagnose and resolve issues and to identify opportunities to grow and improve.
In this role you will have ownership of the endtoend development of solutions to complex problems and you will play an integral role in strategic decisionmaking. You will also work closely with engineers operations teams product owners to build ML pipelines platforms and solutions that solve problems of defect detection automation and workforce optimization.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Experience building machine learning models or developing algorithms for business application
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 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.
The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
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Full-Time
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