Amazon.com Services LLC
Machine Learning Science, Applied Science, Artificial Intelligence
AppliedScientist,ArtificialGeneralIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Artificial General Intelligence at Amazon.com Services LLC. Skills: Generative AI, Large Language Models, Deep learning. Work on pre-training methodologies. Interact with customers”
Industry & Context.
What They're Looking For.
Must Have
Master's degree and 4+ years experience, 1+ years building models, Experience programming in Java, C++, Python, Experience with generative deep learning models
Nice to Have
PhD in Computer Science, Electrical Engineering, Mathematics, Experience with Generative Artificial Intelligence (GenAI) technologies, Experience with Large Language Models (LLMs), Experience with patents or publications, Experience with popular deep learning frameworks
What You'll Do.
Work on pre-training methodologies
Interact with customers
Interact with academic communities
Work on hardware-informed model architecture
Work on low-precision training
Work on optimization methods
Work on learning objectives
Work on curriculum design
Work on deep learning theories
Work on efficient hyperparameter search
Work on self-supervised learning
Work on learning objectives
Work on reinforcement learning methods
Work on distributed training methods
Work on distributed training solutions
Work on AI-assisted research
How You'll Work.
Team & Collaboration
Integral part of a team
Full Job Description
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. Key job responsibilities Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas: - Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Learning objectives and reinforcement learning methods - Distributed training methods and solutions - AI-assisted research About the team The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's 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 - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Preferred Qualifications: - PhD in Computer Science, Electrical Engineering, Mathematics or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) - 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 co
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