Research Engineer II, Q Business

Amazon Q for business is AWS's cutting-edge generative AI assistant designed specifically for enterprises. As a Research Engineer II at Amazon, you'll be at the forefront of AI innovation, working with AWS production services and cloud infrastructure. This role combines hands-on AI research with practical engineering, requiring expertise in building scalable machine learning infrastructure and maintaining high coding standards.

The position offers a unique opportunity to work at the intersection of research and engineering, where you'll develop cutting-edge Retrieval Augmented Generation technologies and fine-tuning techniques for embedding models and LLMs. You'll be responsible for building essential tooling for applied scientists, managing experimental frameworks, and ensuring smooth science-to-production transitions.

Amazon's culture emphasizes work-life harmony and inclusive team dynamics. You'll join a diverse community with employee-led affinity groups and ongoing learning experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. The company provides comprehensive benefits and competitive compensation, reflecting their commitment to being Earth's Best Employer.

Key responsibilities include participating in AI research, developing scalable science experiment frameworks, bridging science and engineering pipelines, maintaining code quality, and managing AWS infrastructure. The ideal candidate will have strong programming skills, experience with machine learning infrastructure, and a master's degree in computer science or related field.

Working at AWS means joining the world's most comprehensive cloud platform provider, where innovation never stops. You'll have access to mentorship opportunities, career growth resources, and the chance to work on projects that impact millions of users worldwide.