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 industryleading technology with Large Language Models (LLMs) and Multimodal (MM) systems.
Key job responsibilities As a Senior Applied Scientist with the AGI team you will work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs and MM models. Your work will directly impact our customers in the form of products and services that make use of language technology. You will leverage Amazons heterogeneous data sources and largescale computing resources to accelerate advances in LLMs and multimodal systems.
About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems in order to provide the bestpossible experience for our customers.
PhD or Masters degree and 5 years of applied research experience 5 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
PhD in Computer Science Electrical Engineering Mathematics or related field Experience with Large Language Models (LLMs) and multimodal (MM) architectures Experience with generative deep learning models such as Vision Language Models (VLMs) and diffusion models Experience with popular deep learning frameworks such as PyTorch and Tensor Flow Experience in patents or publications at toptier peerreviewed conferences or journals
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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