Senior Applied Scientist, Brand Protection ML
Senior Applied Scientist, Brand Protection ML
Posted on :
10-05-2025
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1 Vacancy
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Job Description
Amazon Science gives you insight into the companys approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customercentric company in the world. Its the companys ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish teach and engage with the academic community in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit for more information.
Are you an expert in Computer Vision (CV) Natural Langugage Procesing (NLP) or MultiModality Large Language Models (MLLM) Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds high performance AI systems using machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide.
We are looking for a highly talented scientist to help build of our vision for Brand Protection. As a senior applied scientist on the team you will use CV NLP and MLLM techniques to understand and extract key information from product detail page built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions. You will work backwards from data insights and customer feedback to build the right machine learning solutions and resourceful in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the endtoend solution.
An ideal candidate should have extensive experience driving Machine Learning initiatives specially in Deep Learning and LLM applications from conception to launch in a rapidly evolving environment. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
Major responsibilities:
Understand business challenges by analyzing data and customer feedback
Collaborate with tech and product teams on building ML strategies experimentation implementation and continuous improvement
Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.
Use CV NLP LLM and machine learning techniques to create scalable solutions for business problems
Create business and analytics reports and present to the senior management teams
Research and implement novel AI solutions and publish research papers
About the team
Here at Selling Partner Services we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employeeled affinity groups reaching 10000 employees in chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our DEI Ambassador Program. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
3 years of building machine learning models for business application experience
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
Experience with neural deep learning methods and machine learning
Experience programming in Java C Python or related language
PhD or Masters degree and 6 years of applied research experience
5 years of applied research experience
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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.
Please visit for more information.
Are you an expert in Computer Vision (CV) Natural Langugage Procesing (NLP) or MultiModality Large Language Models (MLLM) Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds high performance AI systems using machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide.
We are looking for a highly talented scientist to help build of our vision for Brand Protection. As a senior applied scientist on the team you will use CV NLP and MLLM techniques to understand and extract key information from product detail page built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions. You will work backwards from data insights and customer feedback to build the right machine learning solutions and resourceful in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the endtoend solution.
An ideal candidate should have extensive experience driving Machine Learning initiatives specially in Deep Learning and LLM applications from conception to launch in a rapidly evolving environment. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
Major responsibilities:
Understand business challenges by analyzing data and customer feedback
Collaborate with tech and product teams on building ML strategies experimentation implementation and continuous improvement
Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.
Use CV NLP LLM and machine learning techniques to create scalable solutions for business problems
Create business and analytics reports and present to the senior management teams
Research and implement novel AI solutions and publish research papers
About the team
Here at Selling Partner Services we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employeeled affinity groups reaching 10000 employees in chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our DEI Ambassador Program. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
3 years of building machine learning models for business application experience
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
Experience with neural deep learning methods and machine learning
Experience programming in Java C Python or related language
PhD or Masters degree and 6 years of applied research experience
5 years of applied research experience
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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:
Senior IC
Employment Type
Full-Time
Key Skills
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