Applied Scientist - LLM, Alexa

DESCRIPTION

We have an exciting position within Alexa for an Applied Scientist with a strong background in NLP and Large Language Models to help us develop state-of-the-art conversational systems.
As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.

Key job responsibilities
As an Applied Scientist, you will develop innovative solutions to complex problems to extend the functionalities of conversational assistants.
You will use your technical expertise to research and implement novel algorithms and modelling solutions in collaboration with other scientists and engineers.
You will analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
You will communicate results and insights to both technical and non-technical audiences through written reports, presentations and external publications.

BASIC QUALIFICATIONS

1. PhD, or a Master's degree and experience in CS, CE, ML or related field
2. Experience in patents or publications at top-tier peer-reviewed conferences or journals
3. Experience programming in Java, C++, Python or related language
4. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
5. Experience in building machine learning models for business applications

PREFERRED QUALIFICATIONS

1. Experience using Unix/Linux
2. Experience in professional software development

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.