Applied Scientist, Seller Fees Science
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 129400 - 212800
Posted on:
30 days ago
Vacancies:
1 Vacancy
Job Summary
The Seller Fees organization drives the monetization infrastructure powering Amazons global marketplace processing billions of transactions for over two million active third-party 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 large-scale ML systems in a business-critical domain. This role presents unique opportunities to
Architect and deploy state-of-the-art transformer-based 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 production-scale generative AI systems for fee integrity and seller communications Advance the field of ML through novel research in high-stakes large-scale transaction processing Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes Collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning economics and large business systems.
If youre passionate about advancing the state-of-the-art 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 state-of-the-art 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.
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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 $129400/year in our lowest geographic market up to $212800/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.
Were seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to
Architect and deploy state-of-the-art transformer-based 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 production-scale generative AI systems for fee integrity and seller communications Advance the field of ML through novel research in high-stakes large-scale transaction processing Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes Collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning economics and large business systems.
If youre passionate about advancing the state-of-the-art 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 state-of-the-art 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.
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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 $129400/year in our lowest geographic market up to $212800/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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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