Amazon.com Services LLC
Technology
PrincipalAppliedScientist,ConversationalAssistantModeling&Learning
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“Principal Applied Scientist, Conversational Assistant Modeling & Learning at Amazon.com Services LLC. Skills: Conversational AI, Large language models, Model fine-tuning, Agentic reasoning. Define science roadmap. Design novel approaches”
What You'll Achieve.
Shape customer experience
Industry & Context.
Decompose problems; Problem definitions; Ambiguity; Competing objectives
What They're Looking For.
Must Have
5+ years predictive modeling, PhD in technical field, Experience distilling requirements, Programming in Java, C++, Python, Leading experienced scientists
Nice to Have
10+ years relevant work, Knowledge of algorithm design, Knowledge of complexity analysis, Creating novel algorithms, Advancing state of the art, Peer-reviewed scientific contributions
What You'll Do.
Define science roadmap
Design novel approaches
Implement novel approaches
Evaluate novel approaches
Architect agentic systems
Develop evaluation frameworks
Translate research advances
Contribute to planning
Contribute to culture
How You'll Work.
Team & Collaboration
Cross-functional science teams; Engineering teams; Product teams
Communication Scope
Executive presentations
Full Job Description
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 teams Publish results at top-tier venues and represent Amazon in the broader research community Mentor scientists at all levels and contribute to organizational planning, hiring, and technical cul
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