Applied Scientist, Brand Protection Machine Learning
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 customer-centric 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 Natural Language Processing (NLP) computer vision Large Language Models (LLM) and multi-modality 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 and deep learning that identify and prevent infringement and counterfeit on behalf of brand owners worldwide.
We are looking for a highly talented scientist to help build of our AI vision for Brand Protection. As a applied scientist on the team you will use STOA AI and ML techniques to understand and extract key information from product detail page built automated AI solutions that thinks like human to 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 own the end-to-end solution.
An ideal candidate should be a self-starter comfortable with ambiguity strong attention to detail and the ability to work in a fast-paced ever-changing environment. As an Applied scientist
you will own the design and development of end-to-end AI solutions from conception to launch in a rapidly evolving environment. Youll have the opportunity to create science roadmaps and drive production level projects that will support Amazon Science. extensive experience driving Machine Learning initiatives specially in NLP and LLM applications from conception to launch in a rapidly evolving environment. You will work closely with other scientists and enigneers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business 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 deep learning 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
Key job responsibilities
Amazon Science gives insight into the companys approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric 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 use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit .
- PhD or Masters degree and 1 years of deep learning computer vision human robotic interaction algorithms implementation experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience implementing algorithms using both toolkits and self-developed code
- Experience using Unix/Linux
- Experience in professional software development
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
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.
Please visit for more information.
Are you an expert in Natural Language Processing (NLP) computer vision Large Language Models (LLM) and multi-modality 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 and deep learning that identify and prevent infringement and counterfeit on behalf of brand owners worldwide.
We are looking for a highly talented scientist to help build of our AI vision for Brand Protection. As a applied scientist on the team you will use STOA AI and ML techniques to understand and extract key information from product detail page built automated AI solutions that thinks like human to 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 own the end-to-end solution.
An ideal candidate should be a self-starter comfortable with ambiguity strong attention to detail and the ability to work in a fast-paced ever-changing environment. As an Applied scientist
you will own the design and development of end-to-end AI solutions from conception to launch in a rapidly evolving environment. Youll have the opportunity to create science roadmaps and drive production level projects that will support Amazon Science. extensive experience driving Machine Learning initiatives specially in NLP and LLM applications from conception to launch in a rapidly evolving environment. You will work closely with other scientists and enigneers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business 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 deep learning 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
Key job responsibilities
Amazon Science gives insight into the companys approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric 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 use our working backwards method to enrich the way we live and work.
For more information on the Amazon Science community please visit .
- PhD or Masters degree and 1 years of deep learning computer vision human robotic interaction algorithms implementation experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience implementing algorithms using both toolkits and self-developed code
- Experience using Unix/Linux
- Experience in professional software development
- Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
About Company
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