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Applied Scientist, AGI Conversational Assistant Services

Job ID: 2656003 | Amazon Development Center Germany GmbH

DESCRIPTION

Are you fascinated by revolutionizing Alexa user experience with LLM? The Artificial General Intelligence (AGI) team is looking for an Applied Scientist with background in Large Language Model, Natural Language Process, Machine/Deep learning. You will be at the heart of the Alexa LLM transition working with a team of applied and research scientists to bring classic Alexa features and beyond into LLM empowered Alexa. You will interact in a cross-functional capacity with science, product and engineering leaders.

Key job responsibilities
* Work on core LLM technologies (supervised fine tuning, prompt optimization, etc.) to enable Alexa use cases
* Research and develop novel metrics and algorithms for LLM evaluation
* Communicating effectively with leadership team as well as with colleagues from science, engineering and business backgrounds.

We are open to hiring candidates to work out of one of the following locations:

Berlin, BE, DEU

BASIC QUALIFICATIONS

- PhD, or a Master's 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

PREFERRED QUALIFICATIONS

- 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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