SoftwareDevelopmentEngineer,FinTech-MachineLearning

Do you want to be part of a team building machine learning applications that process and analyze transactions worth billions of dollars a day using the latest technology? Do you want to make a tangible impact measured in terms of millions of dollars saved? In our Finance Technology group, we develop machine learning systems that scrutinize billions of dollars in transactions from across Amazon's businesses. Our mission is to drive wider adoption of machine learning solutions for finance processes. We build applications utilizing advanced techniques like forecasting, classification, and anomaly detection. Our current projects range from identifying anomalies in data to predicting optimal cash levels for accounts. We utilize the newest tools and technologies such as Generative AI and Large Language Models. On a typical day, you'll collaborate closely with machine learning scientists, fellow software engineers, and finance teams across Amazon. You'll work with massive datasets in the terabytes range, developing robust machine learning pipelines to process billions in transaction value. We emphasize partnering with our internal customers, so you'll interact directly with them to understand requirements and get feedback. Our team thrives on innovation, and we're open to new approaches. You'll have opportunities to test your ideas in production environments dealing with real financial data and processes. Join us to apply advanced machine learning capabilities that drive efficiencies and insights for Amazon's finance operations at a massive scale. 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