Job ID: 2796391 | Amazon.com Services LLC
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multi-modal systems. You will support projects that work on cutting edge technologies including multi-modal model alignment, moderation systems and evaluation.
Key Job ResponsibilitiesAs an Applied Scientist with the AGI team, you will support the 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 generative artificial intelligence (GenAI). You are also expected to publish in top tier conferences.
About the TeamThe AGI team has a mission to push the envelope in LLMs and multimodal systems. Specifically, we focus on model alignment with an aim to maintain safety while not denting utility, in order to provide the best-possible experience for our customers.
BASIC QUALIFICATIONSPhD, or Master's degree and 4+ years of CS, CE, ML or related field experience1+ years of building models for business application experienceExperience programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONSPhD in Computer Science, Electrical Engineering, Mathematics or related fieldStrong experience with multi-modal model alignment, moderation systems, and evaluation with Generative Artificial Intelligence (GenAI)Experience with patents or publications at top-tier peer-reviewed conferences or journalsExperience with popular deep learning frameworks, including PyTorchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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