Principal Applied Scientist, Conversational Assistant Modeling & Learning
Core
Leading the science behind Alexa+, Amazon's LLM-powered conversational assistant, focusing on fine-tuning, alignment, agentic reasoning, and evaluation.
Role type
Principal Applied Scientist (Conversational AI & LLMs)
Builds
Alexa+ conversational assistant capabilities and agentic systems
Domain
Consumer AI / Large Language Models / Conversational Interfaces
Deliverable
production ML models
Required skills
LLM fine-tuning, RLHF/DPO alignment, agentic system architecture, evaluation framework design, predictive modeling, algorithm design, scientific leadership, mentoring
Preferred skills
Novel algorithm creation, state-of-the-art research contributions, complexity analysis
Technologies
Java, C++, Python
Responsibilities
Define science roadmap for conversational AI, design and evaluate LLM approaches, architect agentic systems, develop evaluation frameworks, translate research to products, publish results, mentor scientists
Seniority
Principal, hands-on technical leader with strategy & mentorship
