The Artificial General Intelligence (AGI) team is looking for a passionate talented and inventive Applied Scientist with a strong deep learning background to build industryleading technology with Large Language Models (LLMs) and multimodal systems. You will support projects that work on technologies including multimodal model alignment moderation systems and evaluation.
Key job responsibilities As 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 Amazons heterogeneous data sources and largescale computing resources to accelerate advances in generative artificial intelligence (GenAI). You are also expected to publish in top tier conferences.
About the team The 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 bestpossible experience for our customers.
PhD or Masters degree and 4 years of CS CE ML or related field experience 1 years of building models for business application experience Experience programming in Java C Python or related language
PhD in Computer Science Electrical Engineering Mathematics or related field Strong experience with multimodal model alignment moderation systems and evaluation with Generative Artificial Intelligence (GenAI) Experience with patents or publications at toptier peerreviewed conferences or journals Experience with popular deep learning frameworks including PyTorch
Amazon 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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