Amazon.com Services LLC

Technology

PrincipalAppliedScientist,ConversationalAssistantModeling&Learning

$198–269k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Principal candidates.

The Brief

“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.

Technology
Problems you'll solve

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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