Senior Applied Scientist, Artificial General Intelligence
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 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 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).
About the team
The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
Basic Qualifications
– PhD, or Master’s degree and 3+ years of applied research experience
– 3+ years of building machine learning models for business application experience
– Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
– Experience programming in Java, C++, Python or related language
Preferred Qualifications
– PhD in Computer Science, Electrical Engineering, Mathematics or related field
– Strong experience with model evaluations with multimodal LLMs and Generative Artificial Intelligence (GenAI) in Computer Vision (image and video domains)
– 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 opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 Company’s 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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