Amazon QuickSight is revolutionizing Business Intelligence with its Q feature, a cutting-edge ML-powered natural language query capability. As a Machine Learning Engineer, you'll be at the forefront of developing innovative solutions using Large Language Models (LLMs) and Natural Language Processing.
The role involves working on Amazon Q in QuickSight, where you'll build systems that allow business users to get instant answers from their data using natural language queries. You'll be part of a team that's pushing the boundaries of Generative BI, creating new products that transform how customers interact with their data.
Amazon offers a strong culture of inclusion with ten employee-led affinity groups reaching 40,000 employees globally. The company values work-life balance, providing flexibility in working hours and encouraging team members to find their optimal personal-professional equilibrium.
The team emphasizes mentorship and knowledge sharing, with members across various experience levels. You'll have opportunities to grow professionally through challenging projects and collaborative learning. The work environment promotes innovation while adhering to Amazon's 16 Leadership Principles, which emphasize seeking diverse perspectives and earning trust.
The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. You'll be working in Seattle, contributing to AWS's mission of making data analysis more accessible and intelligent through machine learning.
This role is perfect for someone passionate about applied ML, particularly in LLMs and NLP, who wants to make a significant impact on how businesses understand and utilize their data. You'll be involved in the complete machine learning lifecycle, from prototyping to production deployment, while working with a supportive team that values innovation and personal growth.