Senior Applied Scientist Amazon Customer Service
Senior Applied Scientist Amazon Customer Service
Posted on :
14-04-2025
Employer Active
1 Vacancy
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Job Description
We see our customers as invited guests to a party and we are the hosts. Its our job every day to make every important aspect of the customer experience a little bit better. Jeff Bezos Founder & CEO.
We didnt make Amazon a trilliondollar company our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this the Worldwide Defect Elimination (WWDE) team relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to eliminate systemic defects and prevent future issues.
As a Sr. Applied Scientist your role is pivotal in leveraging advanced artificial intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. Youll lead the development of innovative solutions that detect and organize issues identify root causes and route them to resolving teams across the company. You will leverage a spectrum of scientific techniques across both classical ML and Natural Language Processing (NLP)/GenAI to comb over our billions of customer interactions (using a combination of media). In this role you will collaborate with crossfunctional teams (Product Engineering Program) and contribute to advancing the state of defect elimination research.
Key job responsibilities
Deliver solutions to the core business problems and influence business partners
Research and develop modeling techniques for NLP DL and ML
Establish scientific culture and standards for all the scientists (publication best practices reviews etc.
Develop scientific talent on the team
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular fulltime employees include:
* Medical Dental and Vision Coverage
* Maternity and Parental Leave Options
* Paid Time Off (PTO)
* 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply
Masters degree in computer science machine learning statistics mathematics or equivalent quantitative field
5 years of building deep learning or machine learning models for business application experience
Deep knowledge in one or more areas of machine learning or deep learning
Proficient with common ML and DL frameworks such as PyTorch
Experience programming in Java Python or related language
PhD in computer science machine learning statistics mathematics or equivalent quantitative field
Experience in patents or publications at toptier peerreviewed conferences or journal
Strong experience with NLP and generative deep learning models (i.e. LLM).
Exceptional communication and collaboration skills
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.
We didnt make Amazon a trilliondollar company our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this the Worldwide Defect Elimination (WWDE) team relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to eliminate systemic defects and prevent future issues.
As a Sr. Applied Scientist your role is pivotal in leveraging advanced artificial intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. Youll lead the development of innovative solutions that detect and organize issues identify root causes and route them to resolving teams across the company. You will leverage a spectrum of scientific techniques across both classical ML and Natural Language Processing (NLP)/GenAI to comb over our billions of customer interactions (using a combination of media). In this role you will collaborate with crossfunctional teams (Product Engineering Program) and contribute to advancing the state of defect elimination research.
Key job responsibilities
Deliver solutions to the core business problems and influence business partners
Research and develop modeling techniques for NLP DL and ML
Establish scientific culture and standards for all the scientists (publication best practices reviews etc.
Develop scientific talent on the team
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular fulltime employees include:
* Medical Dental and Vision Coverage
* Maternity and Parental Leave Options
* Paid Time Off (PTO)
* 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply
Masters degree in computer science machine learning statistics mathematics or equivalent quantitative field
5 years of building deep learning or machine learning models for business application experience
Deep knowledge in one or more areas of machine learning or deep learning
Proficient with common ML and DL frameworks such as PyTorch
Experience programming in Java Python or related language
PhD in computer science machine learning statistics mathematics or equivalent quantitative field
Experience in patents or publications at toptier peerreviewed conferences or journal
Strong experience with NLP and generative deep learning models (i.e. LLM).
Exceptional communication and collaboration skills
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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