Sr. Machine Learning Engineer, Amazon Q in QuickSight

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$151,300 - $261,500
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Sr. Machine Learning Engineer, Amazon Q in QuickSight

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.

Last updated 8 hours ago

Responsibilities For Sr. Machine Learning Engineer, Amazon Q in QuickSight

  • Understand business objectives and develop ML algorithms
  • Build Prototypes and POCs to determine feasibility
  • Run experiments to assess performance and improvements
  • Provide ideas and alternatives to drive products/features
  • Define data and feature validation strategies
  • Deploy and operate models in production including monitoring and troubleshooting

Requirements For Sr. Machine Learning Engineer, Amazon Q in QuickSight

Python
  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture experience
  • Experience as a mentor, tech lead or leading an engineering team

Benefits For Sr. Machine Learning Engineer, Amazon Q in QuickSight

Medical Insurance
401k
  • Full range of medical benefits
  • Financial benefits
  • Work-life harmony
  • Career growth opportunities
  • Mentorship programs

Interested in this job?

Jobs Related To Amazon Sr. Machine Learning Engineer, Amazon Q in QuickSight

Sr. Machine Learning Engineer, AGIF | Finetuning

Senior Machine Learning Engineer position at Amazon's AGI Finetuning team, focusing on developing and maintaining evaluation systems for advanced AI models.

Sr. Software Development Engineer, Artificial General Intelligence

Senior Software Development Engineer role at Amazon's AGI team, focusing on developing advanced conversational AI capabilities for Alexa using LLMs and Gen AI.

Sr. Research Engineer, Machine Learning, AGI Foundations

Senior Research Engineer position at Amazon's AGI team, focusing on developing advanced multimodal ML systems and scaling pre-training workflows for LLMs and Generative AI.

Senior Delivery Consultant - Application Developer, Data & Machine Learning, WWPS ProServe

Senior ML and cloud architecture role at AWS ProServe, combining technical expertise with consulting to help customers implement AWS solutions, focusing on machine learning and data processing systems.

Senior Software Development Engineer - Amazon Music Machine Learning

Senior Software Engineer role at Amazon Music focusing on machine learning and personalization systems to enhance music discovery and recommendations for millions of users globally.