Machine Learning Engineer, MLE II, QuickSight

Amazon QuickSight is seeking a Machine Learning Engineer II to join their team working on innovative NLP and LLM applications. This role focuses on developing Amazon Q, a machine learning powered natural language query capability that enables business users to get instant answers from their data. The position involves working with cutting-edge Large Language Models and applied Machine Learning to build the next generation of Generative BI solutions.

The role offers significant opportunity to work on ambiguous, interesting projects with high customer impact. You'll be part of a team revolutionizing Business Intelligence by integrating machine learning and Amazon AI to enhance data understanding. The position involves building solutions that help customers understand Q's answers while creating new data exploration pathways.

Amazon QuickSight is a cloud-powered BI service making it easy to build visualizations and perform ad-hoc analysis. The team values work-life balance and offers flexibility in working hours. There's a strong emphasis on mentorship and career growth, with opportunities to work with experienced professionals across various tenure levels.

The team culture is inclusive, supported by ten employee-led affinity groups with 40,000 members globally. Amazon offers innovative benefits and hosts learning experiences including Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. The company's 16 Leadership Principles emphasize seeking diverse perspectives and earning trust.

This role requires strong technical skills in machine learning and software development, combined with the ability to understand business objectives and translate them into technical solutions. You'll be responsible for building prototypes, running experiments, and deploying models to production while ensuring their ongoing operation and maintenance.