Applied Scientist Customer Service
Applied Scientist Customer Service
Posted on :
09-04-2025
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1 Vacancy
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Job Description
Amazons revolutionized customer service is now changing what customers expect from technical support. Device Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products from Kindle and Echo to Amazon Music and Prime Video.
Were seeking an Applied Scientist to develop cuttingedge AI solutions leveraging Large Language Models (LLM) Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earths best customer service. We are looking for individuals with a passion for learning researching and deploying productionready science solutions in a highly collaborative environment. We like to ideate experiment iterate optimize and scale quickly while thoughtfully balancing speed and quality
If you have experience with two or more of the following:
Research and implementation of multiturn taskoriented dialogue systems
Natural Language Understanding / Spoken Language Understanding
Information Retrieval Question Answering Semantic Representation
Zeroshot or Fewshot Learning
Crowdsourced NLU annotation best practices
Reinforcement Learning (preferably in an NLP application)
Computational Linguistics
Large scale text classification
Then we want to hear from you!
Key job responsibilities
Drive collaborative research and creative problem solving.
Apply scientific concepts to realworld business problems.
Create experiments and prototype implementations of new learning algorithms and prediction techniques.
Collaborate with engineering teams to design and implement software solutions for science problems
Constructively critique peer research and mentor junior s and engineers.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science and product teams to foster an innovative learning environment.
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!
Benefits summary:
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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
We at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate evaluate prevent and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazons digital products.
Our team combines strategic thinking technology expertise and customer experience best practices. This ensures customers can easily get the most value from Amazons digital offerings. We focus on providing the right support at the right time tailored to each customers needs. By eliminating friction and making support effortless we enhance the overall customer experience.
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 using Unix/Linux
Experience in professional software development
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 $136000/year in our lowest geographic market up to $223400/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.
Were seeking an Applied Scientist to develop cuttingedge AI solutions leveraging Large Language Models (LLM) Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earths best customer service. We are looking for individuals with a passion for learning researching and deploying productionready science solutions in a highly collaborative environment. We like to ideate experiment iterate optimize and scale quickly while thoughtfully balancing speed and quality
If you have experience with two or more of the following:
Research and implementation of multiturn taskoriented dialogue systems
Natural Language Understanding / Spoken Language Understanding
Information Retrieval Question Answering Semantic Representation
Zeroshot or Fewshot Learning
Crowdsourced NLU annotation best practices
Reinforcement Learning (preferably in an NLP application)
Computational Linguistics
Large scale text classification
Then we want to hear from you!
Key job responsibilities
Drive collaborative research and creative problem solving.
Apply scientific concepts to realworld business problems.
Create experiments and prototype implementations of new learning algorithms and prediction techniques.
Collaborate with engineering teams to design and implement software solutions for science problems
Constructively critique peer research and mentor junior s and engineers.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science and product teams to foster an innovative learning environment.
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!
Benefits summary:
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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
We at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate evaluate prevent and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazons digital products.
Our team combines strategic thinking technology expertise and customer experience best practices. This ensures customers can easily get the most value from Amazons digital offerings. We focus on providing the right support at the right time tailored to each customers needs. By eliminating friction and making support effortless we enhance the overall customer experience.
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 using Unix/Linux
Experience in professional software development
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 $136000/year in our lowest geographic market up to $223400/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.
Employment Type
Full-Time
Key Skills
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