Applied Scientist Seller Fees Science Tech
Applied Scientist Seller Fees Science Tech
Posted on :
24-04-2025
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1 Vacancy
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Job Description
The Seller Fees organization drives the monetization infrastructure powering Amazons global marketplace processing billions of transactions for over two million active thirdparty sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale.
Were seeking an exceptional Applied Scientist to push the boundaries of largescale ML systems in a businesscritical domain. This role presents unique opportunities to
Architect and deploy stateoftheart transformerbased models for fee classification and anomaly detection across hundreds of millions of products Pioneer novel applications of multimodal LLMs to analyze product attributes images and seller metadata for intelligent fee determination Build productionscale generative AI systems for fee integrity and seller communications Advance the field of ML through novel research in highstakes largescale transaction processing Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes Collaborate with worldclass scientists and engineers to solve complex problems at the intersection of deep learning economics and large business systems.
If youre passionate about advancing the stateoftheart in applied ML/AI while tackling challenging problems at global scale we want you on our team!
Key job responsibilities
Responsibilities:
. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages policy and requirements.
Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers.
Develop large scale classification and prediction models using the rich features of text image and customer interactions and stateoftheart techniques.
Research and implement novel machine learning statistical and econometrics approaches.
Write high quality code and implement scalable models within the production systems.
Stay up to date with relevant scientific publications.
Collaborate with business and software teams both within and outside of the fees organization.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
2 years of deep learning computer vision human robotic interaction algorithms implementation experience
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
2 years of solving business problems through machine learning data mining and statistical algorithms experience
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.
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 exceptional Applied Scientist to push the boundaries of largescale ML systems in a businesscritical domain. This role presents unique opportunities to
Architect and deploy stateoftheart transformerbased models for fee classification and anomaly detection across hundreds of millions of products Pioneer novel applications of multimodal LLMs to analyze product attributes images and seller metadata for intelligent fee determination Build productionscale generative AI systems for fee integrity and seller communications Advance the field of ML through novel research in highstakes largescale transaction processing Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes Collaborate with worldclass scientists and engineers to solve complex problems at the intersection of deep learning economics and large business systems.
If youre passionate about advancing the stateoftheart in applied ML/AI while tackling challenging problems at global scale we want you on our team!
Key job responsibilities
Responsibilities:
. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages policy and requirements.
Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers.
Develop large scale classification and prediction models using the rich features of text image and customer interactions and stateoftheart techniques.
Research and implement novel machine learning statistical and econometrics approaches.
Write high quality code and implement scalable models within the production systems.
Stay up to date with relevant scientific publications.
Collaborate with business and software teams both within and outside of the fees organization.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
2 years of deep learning computer vision human robotic interaction algorithms implementation experience
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
2 years of solving business problems through machine learning data mining and statistical algorithms experience
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.
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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