Applied Scientist II, Amazon Selling Partner Trust & Store Integrity Science
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 136000 - 223400
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about applying machine learning and advanced statistical techniques at the scale of one of the worlds larges product catalogs Do you want to be at the forefront of developing innovative solutions that safeguard Amazons product catalog while empowering millions of Selling Partners to thrive Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions
If yes we invite you to join the Amazon Risk Intelligence Science Team. Were seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team youll develop and deploy state-of-the-art machine learning systems that analyze millions of product listings daily ensuring the integrity and trustworthiness of Amazons catalog while scaling our operations to new heights. Your work will directly impact the quality of the shopping experience for hundreds of millions of customers worldwide.
Key job responsibilities
Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations selling partner integrity and content manipulation
Innovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring content verification and automated listing compliance
Design develop and deploy end-to-end machine learning solutions in the Amazon production environment
Learn explore and experiment with the latest machine learning advancements to protect selling partner trust and integrity
A day in the life
Youll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable efficient and automated processes for large-scale data analyses model development model validation and model implementation.
You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the teams success.
- PhD or Masters degree and 3 years of CS CE ML or related field experience
- 3 years of building machine learning models or developing algorithms for business application 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 high-performance computing
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
- Experience in patents or 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 $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.
If yes we invite you to join the Amazon Risk Intelligence Science Team. Were seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team youll develop and deploy state-of-the-art machine learning systems that analyze millions of product listings daily ensuring the integrity and trustworthiness of Amazons catalog while scaling our operations to new heights. Your work will directly impact the quality of the shopping experience for hundreds of millions of customers worldwide.
Key job responsibilities
Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations selling partner integrity and content manipulation
Innovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring content verification and automated listing compliance
Design develop and deploy end-to-end machine learning solutions in the Amazon production environment
Learn explore and experiment with the latest machine learning advancements to protect selling partner trust and integrity
A day in the life
Youll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable efficient and automated processes for large-scale data analyses model development model validation and model implementation.
You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the teams success.
- PhD or Masters degree and 3 years of CS CE ML or related field experience
- 3 years of building machine learning models or developing algorithms for business application 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 high-performance computing
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
- Experience in patents or 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 $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.
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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