Senior Applied Scientist, Conversational AI & LLMs

Amazon; Santa Clara (CA); On-site; USD 229,000 - 309,000; Full time

Job summary

Amazon is seeking a Principal Applied Scientist with a strong machine learning background to build industry-leading Conversational AI systems. You will work with world‑class experts to develop novel algorithms in NLU, dialog management, and generative AI, applying large language models to real customer problems.

You will contribute to state-of-the-art language technology by designing scalable experiments, mentoring junior researchers, and delivering impactful solutions for millions of Amazon

Qualifications

• 5+ years of hands-on work in predictive modeling and analysis.
• PhD in Electrical Engineering, Computer Science, Mathematics, or a related field.
• 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 and developing junior members from academia or industry.

Responsibilities

• Develop novel algorithms and modeling techniques to advance language technology.
• Advance the state of the art in NLU, Dialog Systems, and Generative AI.
• Collaborate with internationally recognized experts to conduct scalable experiments on large datasets.
• Translate customer requirements into concrete ML problems and design solutions.

Skills

Predictive modeling

Mentoring and leadership

Ambiguity handling

Software development

Education

PhD in Electrical Engineering, Computer Science, Mathematics, or related field

Tools

Java

C++

Python

Job description

Amazon is seeking a Principal Applied Scientist with a strong machine learning background to build industry-leading Conversational AI systems. You will work with world‑class experts to develop novel algorithms in NLU, dialog management, and generative AI, applying large language models to real customer problems.

You will contribute to state-of-the-art language technology by designing scalable experiments, mentoring junior researchers, and delivering impactful solutions for millions of Amazon