Principal Applied Scientist, Conversational Assistant Modeling & Learning

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About this role

Principal Applied Scientist, Conversational Assistant Modeling & Learning Bellevue, Washington, USA Alexa AI is looking for a Principal Applied Scientist to lead the science behind Alexa+, Amazon's LLM-powered conversational assistant. 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. You decompose ambiguous, hard problems into clear solutions. Your code, models, and documents are exemplary and frequently referenced across the organization. You amplify your impact beyond your own work. You lead scientific reviews, scrutinize experimental design and modeling assumptions, and align teams toward coherent strategies. You mentor senior scientists, contribute significantly to hiring, and keep the broader scientific community current on state-of-the-art techniques. You bring business and industry context to technical decisions and can credibly present to executive leadership. Key job responsibilities Define and drive the science roadmap for conversational AI capabilities powered by large language models Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment Architect agentic systems - multi-step reasoning, tool use, planning, and orchestration - that work reliably at scale Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.