Principal Applied Scientist, Conversational Assistant Modeling & Learning
Amazon
United States
On-site
Llm fine-tuning and alignment
Agentic reasoning and planning
Large language model evaluation
Amazon is seeking a Principal Applied Scientist for their Alexa AI team, focusing on developing conversational assistant technologies powered by large language models. The role involves leading research initiatives, designing experiments, and translating research into scalable production systems
Job Summary
You will own the technical direction for key initiatives spanning large language model fine-tuning, alignment, agentic reasoning, and evaluation — directly shaping the experience for hundreds of millions of customers worldwide.
As a Principal Scientist, you are a hands-on technical leader. You define research directions, design and run rigorous experiments, and ensure that research translates into production systems at scale.
Our team works at the intersection of large language models, reinforcement learning from human feedback and verifiable rewards, agentic architectures, and multilingual/multimodal understanding.
Matching Summary
Match Score: 85
Amazon is seeking a Principal Applied Scientist for their Alexa AI team, focusing on developing conversational assistant technologies powered by large language models. The role involves leading research initiatives, designing experiments, and translating research into scalable production systems.
Skills & Requirements
Must-have
LLM fine-tuning and alignment
agentic reasoning and planning
large language model evaluation
production system deployment at scale
research roadmap definition
Nice-to-have
technical leadership and mentorship
business and industry context
cross-functional collaboration
scientific community engagement
Key Requirements
Principal Applied Scientist experience
PhD or equivalent in a relevant field
Experience with LLM fine-tuning, alignment, and distillation