Principal Applied Scientist, Conversational Assistant Modeling & Learning

Amazon Amazon · Big Tech · Bellevue, WA · Applied Science

Principal Applied Scientist to lead science behind Alexa+, Amazon's LLM-powered conversational assistant. Owns technical direction for LLM fine-tuning, alignment, agentic reasoning, and evaluation, impacting hundreds of millions of customers. Defines research directions, designs experiments, ensures translation to production systems, mentors scientists, and represents Amazon in the research community.

What you'd actually do

  1. Define and drive the science roadmap for conversational AI capabilities powered by large language models
  2. Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment
  3. Architect agentic systems — multi-step reasoning, tool use, planning, and orchestration — that work reliably at scale
  4. Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality
  5. Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams

Skills

Required

  • predictive modeling
  • analysis
  • LLM fine-tuning
  • alignment (RLHF, DPO)
  • distillation
  • agentic systems
  • multi-step reasoning
  • tool use
  • planning
  • orchestration
  • evaluation frameworks
  • Java
  • C++
  • Python

Nice to have

  • novel approaches
  • production deployment
  • novel algorithms
  • advancing the state of the art
  • peer-reviewed scientific contributions
  • premier journals and conferences

What the JD emphasized

  • lead the science behind Alexa+
  • hundreds of millions of customers worldwide
  • production systems at scale
  • ambiguous, hard problems
  • exemplary and frequently referenced
  • lead scientific reviews
  • align teams toward coherent strategies
  • mentor senior scientists
  • contribute significantly to hiring
  • keep the broader scientific community current
  • business and industry context
  • present to executive leadership
  • massive scale
  • push the frontier of conversational AI
  • used by people every day
  • 5+ years of hands-on work in predictive modeling and analysis experience
  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
  • Experience working in predictive modeling and analysis
  • Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Experience programming in Java, C++, Python or related language
  • Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
  • 10+ years of relevant work in industry or academia experience
  • Knowledge of problem solving, algorithm design and complexity analysis
  • Experience creating novel algorithms and advancing the state of the art
  • Have peer-reviewed scientific contributions in premier journals and conferences

Other signals

  • LLM fine-tuning
  • alignment
  • agentic reasoning
  • evaluation frameworks
  • production deployment at scale