Principal Applied Scientist, CX Science

Saved job description

We are looking for passionate, talented, and inventive Principal Applied Scientist with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).

As part of our team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.

We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.

A day in the life

The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.

If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.

Requirements: - 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