Applied Scientist, Customer Experience and Business Trends
Applied Scientist, Customer Experience and Business Trends
Posted on :
13-06-2025
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1 Vacancy
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Job Description
We are looking for a passionate talented and resourceful Applied Scientist in the field of LLM Artificial Intelligence (AI) Natural Language Processing (NLP) Recommender Systems and/or Information Retrieval Multi-Agent and Multi-Modality research to invent and build scalable solutions for a context-aware AI-Native application.
A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Multi-Agent solutions with LLMs enjoy operating in dynamic environments be self-motivated to take on challenging problems to improve customer experience moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
- Leverage your technical expertise to lead the development of Large Language Model (LLM) and AI Agent technologies.
- Tackle complex problems in LLM modeling and engineering.
- Research and develop techniques to reduce friction and enable scientific solutions for products
- Analyze and improve customer experiences using Amazons diverse data sources and computing resources.
- Your work will directly impact customers through novel products and services.
A day in the life
As an Applied Scientist at Amazon your day revolves around leveraging machine learning methods to solve complex international business challenges. You collaborate with stakeholders to understand critical business problems then design and implement machine learning solutions to address customer experience risks across global markets. A significant part of your role involves developing innovative evaluation metrics and rapidly setting up experiments to test and validate model performance. Working closely with engineering teams you ensure successful deployment of these models to production environments. Throughout this process you support peer scientists and drive technological innovation forward.
About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products services ideas and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g. consumers developers sellers/brands employees investors streamers gamers).
Our approach is based on determining the customer need along with problem solving and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team made up of a diverse set of profiles skills and backgrounds including: Product Managers Software Developers Computer Vision experts Solutions Architects Data Scientists Business Intelligence Engineers Business Analysts Risk Managers and more.
- 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 top-tier peer-reviewed 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 high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Multi-Agent solutions with LLMs enjoy operating in dynamic environments be self-motivated to take on challenging problems to improve customer experience moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
- Leverage your technical expertise to lead the development of Large Language Model (LLM) and AI Agent technologies.
- Tackle complex problems in LLM modeling and engineering.
- Research and develop techniques to reduce friction and enable scientific solutions for products
- Analyze and improve customer experiences using Amazons diverse data sources and computing resources.
- Your work will directly impact customers through novel products and services.
A day in the life
As an Applied Scientist at Amazon your day revolves around leveraging machine learning methods to solve complex international business challenges. You collaborate with stakeholders to understand critical business problems then design and implement machine learning solutions to address customer experience risks across global markets. A significant part of your role involves developing innovative evaluation metrics and rapidly setting up experiments to test and validate model performance. Working closely with engineering teams you ensure successful deployment of these models to production environments. Throughout this process you support peer scientists and drive technological innovation forward.
About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience globally. We are a team of builders that develop products services ideas and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g. consumers developers sellers/brands employees investors streamers gamers).
Our approach is based on determining the customer need along with problem solving and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team made up of a diverse set of profiles skills and backgrounds including: Product Managers Software Developers Computer Vision experts Solutions Architects Data Scientists Business Intelligence Engineers Business Analysts Risk Managers and more.
- 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 top-tier peer-reviewed 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 high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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