principal machine learning Applied Scientist tech_leadership 5+ yrs Phd's · Posted Mar 19, 2026
$198,900 – $269,000
USD per year

About this role

Amazon is hiring a principal-level Applied Scientist in the machine learning function based in Bellevue, WA. The posting calls out experience with Python, Java, LLMs, Reinforcement Learning and roughly 5+ years of relevant work. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $198,900–$269,000 per year.

Role
Applied Scientist
Function
machine learning
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Bellevue, WA
Experience
5+ years
Education
Ph.D. preferred
Department
Applied Science
Posted
Mar 19, 2026
AI Summary
Lead the science and technical direction for Alexa+, Amazon's LLM-powered conversational assistant. Own research initiatives in fine-tuning, alignment, agentic reasoning, and evaluation. Design novel approaches, mentor senior scientists, and translate research into production systems serving hundreds of millions of customers.

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Job description

from Amazon careers

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…

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