Applied Scientist - GenAI International Seller Growth
Applied Scientist - GenAI International Seller Growth
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology Are you passionate about applying advanced machine learning techniques to solve complex challenges in the ecommerce space If so Amazons International Seller Services team has an exciting opportunity for you as an Applied Scientist.
At Amazon we strive to be Earths most customercentric company where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide ensuring customers have access to a vast selection of products.
As an Applied Scientist you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazons global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe Japan China Australia and other regions.
Join us at the Central Science Team of Amazons International Seller Services and become part of a global team that is redefining the future of ecommerce. With access to vast amounts of data cuttingedge technology and a diverse community of talented individuals you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together we will drive innovation solve complex problems and shape the future of ecommerce.
Please visit for more information
Key job responsibilities
Apply your expertise in LLM models to design develop and implement scalable machine learning solutions that address complex languagerelated challenges in the international seller services domain.
Collaborate with crossfunctional teams including software engineers data scientists and product managers to define project requirements establish success metrics and deliver highquality solutions.
Conduct thorough data analysis to gain insights identify patterns and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
Continuously explore and evaluate stateoftheart NLP techniques and methodologies to improve the accuracy and efficiency of languagerelated systems.
Communicate complex technical concepts effectively to both technical and nontechnical stakeholders providing clear explanations and guidance on proposed solutions and their potential impact.
PhD or Masters degree and 4 years of solving business problems through machine learning data mining and statistical algorithms experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
Experience in NLP generative AI LLM or DL RL.
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.
At Amazon we strive to be Earths most customercentric company where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide ensuring customers have access to a vast selection of products.
As an Applied Scientist you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazons global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe Japan China Australia and other regions.
Join us at the Central Science Team of Amazons International Seller Services and become part of a global team that is redefining the future of ecommerce. With access to vast amounts of data cuttingedge technology and a diverse community of talented individuals you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together we will drive innovation solve complex problems and shape the future of ecommerce.
Please visit for more information
Key job responsibilities
Apply your expertise in LLM models to design develop and implement scalable machine learning solutions that address complex languagerelated challenges in the international seller services domain.
Collaborate with crossfunctional teams including software engineers data scientists and product managers to define project requirements establish success metrics and deliver highquality solutions.
Conduct thorough data analysis to gain insights identify patterns and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
Continuously explore and evaluate stateoftheart NLP techniques and methodologies to improve the accuracy and efficiency of languagerelated systems.
Communicate complex technical concepts effectively to both technical and nontechnical stakeholders providing clear explanations and guidance on proposed solutions and their potential impact.
PhD or Masters degree and 4 years of solving business problems through machine learning data mining and statistical algorithms experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
Experience in NLP generative AI LLM or DL RL.
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.
Required Experience:
Intern
Employment Type
Full-Time
Key Skills
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