Postdoctoral Scientist Customer Engagement Technology
Postdoctoral Scientist Customer Engagement Technology
Posted on :
28-04-2025
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1 Vacancy
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Job Description
Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning and NLP techniques to create the best customer engagement experience on the earth Do you want to revolutionize the way how customers solve their issues and get their questions answered At Customer Engagement Technology (CET) we develop peculiar products that help customers solve problems. We innovate on behalf of customers developing Bot selfservice and associatefacing products that delight customers and support our world class customer service workforce.
We are looking for talented Postdoctoral Scientists to join our CET Machine Learning team in Seattle WA for a oneyear fulltime research position to work on research and development of task oriented dialogue agents for the customer support domain. We utilize Large Language Models (LLMs) to address challenges within TOD systems such as Natural Language Generation for generating system responses based state tracking decision making etc. We publish our research in top tier NLP and AI venues (EMNLP ACL AAAI etc) and deploy ML powered chatbots primarily in the customer returns domain.
Key job responsibilities
In this role you will:
Work closely with a senior science advisor collaborate with other scientists and engineers and be part of Amazons vibrant and diverse global science community.
Publish your innovation in toptier academic venues and hone your presentation skills.
Be inspired by challenges and opportunities to invent cuttingedge techniques in your area(s) of expertise.
PhD in a relevant field received within 2 years of starting the program
Proven publication record in Machine Learning Computer Vision AI Computer Science or other related technical fields
Experience in data science and quantitative research
Proficiency in technologies relevant to the subfield
Experience in Natural Language Processing and in particular Large Language Models
Ability to independently deliver results in a fastpaced environment
Publications at toptier peerreviewed conferences and/or journals
Exceptional verbal and written communication skills
Expert knowledge in modeling and performance operationalization and scalability of scientific techniques and establishing decision strategies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
We are looking for talented Postdoctoral Scientists to join our CET Machine Learning team in Seattle WA for a oneyear fulltime research position to work on research and development of task oriented dialogue agents for the customer support domain. We utilize Large Language Models (LLMs) to address challenges within TOD systems such as Natural Language Generation for generating system responses based state tracking decision making etc. We publish our research in top tier NLP and AI venues (EMNLP ACL AAAI etc) and deploy ML powered chatbots primarily in the customer returns domain.
Key job responsibilities
In this role you will:
Work closely with a senior science advisor collaborate with other scientists and engineers and be part of Amazons vibrant and diverse global science community.
Publish your innovation in toptier academic venues and hone your presentation skills.
Be inspired by challenges and opportunities to invent cuttingedge techniques in your area(s) of expertise.
PhD in a relevant field received within 2 years of starting the program
Proven publication record in Machine Learning Computer Vision AI Computer Science or other related technical fields
Experience in data science and quantitative research
Proficiency in technologies relevant to the subfield
Experience in Natural Language Processing and in particular Large Language Models
Ability to independently deliver results in a fastpaced environment
Publications at toptier peerreviewed conferences and/or journals
Exceptional verbal and written communication skills
Expert knowledge in modeling and performance operationalization and scalability of scientific techniques and establishing decision strategies
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Employment Type
Full-Time
Key Skills
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