Senior Applied Scientist, Artificial General Intelligence

DESCRIPTION

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.

Key job responsibilities
As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.

About the team
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.

BASIC QUALIFICATIONS
– PhD, or Master’s degree and 5+ years of applied research experience
– 3+ years of building machine learning models for business application experience
– Experience programming in Java, C++, Python or related language
– Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS
– PhD in Computer Science, Electrical Engineering, Mathematics or related field
– Strong experience with GenAI LLMs and multimodal systems
– Experience with patents or publications at top-tier peer-reviewed conferences or journals
– Experience with popular deep learning frameworks, including PyTorch

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 ( to know more about how we collect, use and transfer the personal data of our candidates.

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