Key job responsibilities
In this role, you will participate in all parts of the software development process, from collaborating with customers on design to executing that design in a scalable and extensible way. You will have the opportunity to detect fraudulent transactions/vendors by applying machine learning techniques and help Amazon business every day.
A day in the life
In a typical day, you will work with machine learning scientists, other software engineers, and business groups across Amazon Finance Operations. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world.
About the team
Our team owns machine learning applications and we work with finance operations to prevent, recover, or avoid internal and external theft, fraud, abuse, and waste.
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience in development or technical support
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