Applied Scientist - Brand Protection

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.

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 our AI vision for Brand Protection. As an applied scientist on the team, you will use state-of-the-art AI and ML techniques to understand and extract key information from product detail pages, build automated AI solutions that think like humans to make autonomous decisions. You will work backwards from data insights and customer feedback to build the right machine learning solutions and be resourceful in finding innovative solutions to unsolved problems. You will work closely with the 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, have 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. You'll have the opportunity to create science roadmaps and drive production level projects that will support Amazon Science. Extensive experience driving Machine Learning initiatives, especially in NLP and LLM applications, from conception to launch in a rapidly evolving environment. You will work closely with other scientists and engineers 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