Sr. Applied Science Manager, AGI Information
Amazon · Seattle, WA · Applied Science
About this role
Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Seattle, WA. The posting calls out experience with AWS, LLMs, RAG, NLP. Compensation is listed at $218,800–$295,900 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- hybrid
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Applied Science
- Posted
- Apr 2, 2026
More roles at Amazon
Job description
from Amazon careersThe AGI Information organization is at the forefront of artificial intelligence and machine learning innovation, developing AI systems used across AWS, Alexa, and other Amazon businesses that transform how customers interact with information, in particular integrating a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques). Our team combines world-class research with production-scale engineering to deliver impactful AI-driven products and services. We're looking for an experienced leader who can drive scientific excellence while building and mentoring high-performing teams of applied scientists and machine learning engineers. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions. It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide! Key job responsibilities * Lead and manage teams…