Applied Scientist, Alexa Conversational Assistant Services

Are you interested in enhancing Alexa user experiences through Large Language Models

The Alexa AI Berlin team is looking for an Applied Scientist to join our innovative team working on Large Language Models (LLMs) Natural Language Processing and Machine/Deep Learning. You will be at the center of Alexas LLM transformation collaborating with a diverse team of applied and research scientists to enhance existing features and explore new possibilities with this role youll work cross-functionally with science product and engineering leaders to shape the future of Alexa.

Key job responsibilities
As an Applied Scientist in Alexa Science team:

- You will develop core LLM technologies including supervised fine tuning and prompt optimization to enable innovative Alexa use cases
- You will research and design novel metrics and evaluation methods to measure and improve AI performance
- You will create automated multi-step processes using AI agents and LLMs to solve complex problems
- You will communicate effectively with leadership and collaborate with colleagues from science engineering and business backgrounds
- You will participate in on-call rotations to support our systems and ensure continuous service availability

A day in the life
As an Applied Scientist you will own the design and development of end-to-end systems. Youll have the opportunity to write technical white papers create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms models or other technical solutions whilst experiencing Amazons customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

About the team
You would be part of the Alexa Science Team where you would be collaborating with Fellow Applied and research scientists!

- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in building models for business application
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience in professional software development

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