Machine Learning Engineer, Insights, Data Engineering, Econometrics, Analytics & Science (IDEAS)

Amazon Web Services (AWS) is seeking an experienced, self-directed machine learning data engineer to join their Sales teams. This role presents a unique opportunity to innovate in leveraging large-scale data streams to automate sales efforts and accelerate customer cloud adoption.

As a Machine Learning Engineer in the IDEAS team, you'll be at the forefront of developing and deploying scalable ML solutions that directly impact AWS's sales operations. You'll work with cutting-edge AWS services like SageMaker, EMR, ECS, and Glue to build and maintain production-grade machine learning systems.

The ideal candidate excels at productionalizing ML solutions at scale, has experience taking projects from concept to deployment, and can effectively handle large volumes of structured and unstructured data. You'll be responsible for developing maintainable, reusable components and microservices that enhance pipeline efficiency and integration capabilities.

AWS offers a comprehensive benefits package, including medical coverage, financial benefits, and strong support for work-life balance. The company culture emphasizes continuous learning, with access to mentorship programs and career development resources. Employee-led affinity groups foster an inclusive environment where diversity is celebrated.

This high-visibility role offers significant impact potential within AWS, the leading cloud platform trusted by hundreds of thousands of companies across 190+ countries. You'll be part of a dynamic team that values innovation, technical excellence, and clear communication with stakeholders.

The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity opportunities and sign-on payments. Join AWS to shape the future of cloud computing while working with cutting-edge machine learning technologies and contributing to solutions that drive business growth.