Amazon Q in QuickSight is seeking a Senior Machine Learning Engineer to join their innovative team working on cutting-edge LLM and NLP applications. This role focuses on creating a machine learning powered natural language query capability that allows business users to get instant answers from their data. As part of AWS's Utility Computing organization, you'll work on revolutionary Business Intelligence solutions that leverage machine learning and Amazon AI to enhance data understanding.
The position offers an opportunity to work with the latest developments in Large Language Models and Natural Language Processing, building solutions that have direct customer impact. You'll be part of a team that values knowledge-sharing and mentorship, with senior members providing one-on-one guidance and thorough code reviews. The role involves working on ambiguous, interesting projects while helping lead a team working towards fundamental industry changes.
Amazon QuickSight is a cloud-powered BI service making it easy to build visualizations and perform ad-hoc analysis. The team supports critical AWS services including S3, EC2, and various compute, database, storage, IoT, platform, and productivity applications. You'll be working in an inclusive environment that celebrates diversity through employee-led affinity groups and events like CORE and AmazeCon conferences.
The position offers competitive compensation ranging from $151,300 to $261,500 based on location, plus equity and comprehensive benefits. Amazon values diverse experiences and encourages applications from candidates with non-traditional backgrounds. The role provides excellent work-life harmony and career growth opportunities through mentorship and continuous learning resources.
This is an excellent opportunity for an experienced ML engineer passionate about applying cutting-edge AI technology to solve real business problems while working with a supportive team dedicated to innovation and customer success.