Amazon
Applied Science Manager, Artificial General Intelligence
Amazon, Bellevue, Washington, us, 98009
Applied Science Manager, Artificial General Intelligence
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Applied Science Manager, Artificial General Intelligence
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Amazon Overview
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background to lead the development of industry‑leading technology with generative AI (GenAI) and multi‑modal systems. Key Responsibilities
As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate development with multi‑modal Large Language Models (LLMs) and GenAI in Computer Vision. About The Team
The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best‑possible experience for our customers. Basic Qualifications
5+ years of scientists or machine learning engineers management experience Experience building machine learning models or developing algorithms for business application Experience programming in Java, C++, Python or related language Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer‑reviewed workshops, conferences or journals PhD, or Master’s degree and 5+ years of applied research experience Preferred Qualifications
PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field Experience leading, mentoring and growing teams of scientists (teams of five or more scientists) Experience in patents or publications at top‑tier peer‑reviewed conferences or journals Experience with popular deep learning frameworks, including PyTorch Experience with learning multi‑modal LLMs and GenAI in Computer Vision, both in the image and video domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Join to apply for the
Applied Science Manager, Artificial General Intelligence
role at
Amazon Overview
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background to lead the development of industry‑leading technology with generative AI (GenAI) and multi‑modal systems. Key Responsibilities
As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate development with multi‑modal Large Language Models (LLMs) and GenAI in Computer Vision. About The Team
The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best‑possible experience for our customers. Basic Qualifications
5+ years of scientists or machine learning engineers management experience Experience building machine learning models or developing algorithms for business application Experience programming in Java, C++, Python or related language Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer‑reviewed workshops, conferences or journals PhD, or Master’s degree and 5+ years of applied research experience Preferred Qualifications
PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field Experience leading, mentoring and growing teams of scientists (teams of five or more scientists) Experience in patents or publications at top‑tier peer‑reviewed conferences or journals Experience with popular deep learning frameworks, including PyTorch Experience with learning multi‑modal LLMs and GenAI in Computer Vision, both in the image and video domains Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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