Amazon.com Services LLC
Data Science, Applied Science, selling partner services
AppliedScientist,BrandProtectionMachineLearning
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Brand Protection Machine Learning at Amazon.com Services LLC. Skills: Natural Language Processing, Computer vision, Large Language Models, Generative AI. Understand business challenges. Analyze data”
Industry & Context.
Solve complex business problems
What They're Looking For.
Must Have
Master's degree and 1+ years experience, Experience in patents or publications, Programming in Java, C++, Python, Implementing algorithms using toolkits, Implementing algorithms using self-developed code
Nice to Have
PhD, Experience using Unix/Linux, Experience in professional software development, Developing and implementing deep learning algorithms, Computer vision algorithms experience
What You'll Do.
Understand business challenges
Analyze customer feedback
Collaborate with tech teams
Collaborate with product teams
Build experimentation
Build continuous improvement
Extract relevant information
Solve business problems
Use deep learning techniques
Use machine learning techniques
Create scalable solutions
Create business reports
Create analytics reports
Present to senior management
Research AI solutions
Implement AI solutions
Publish research papers
Develop end-to-end AI solutions
Create science roadmaps
Drive production level projects
Deploy solutions into production
How You'll Work.
Team & Collaboration
Tech and product teams; Other scientists; Engineers; Diverse groups of people; Cross-functional teams
Communication Scope
Present to senior management
Process & Methodology
Roadmaps
Full Job Description
Amazon Science gives you insight into the company’s approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s 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 https://www.amazon.science 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
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