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 language technology. You will leverage Amazon’s heterogeneous data sources and large-scale 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 best-possible experience for our customers.
We are open to hiring candidates to work out of one of the following locations :
Bellevue, WA, USA Cambridge, MA, USA New York, NY, USA Seattle, WA, USA Sunnyvale, CA, USA
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ 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
PREFERRED QUALIFICATIONS
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Experience with LLMs and multimodal architectures
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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