Applied Scientist, Artificial General Intelligence

Job  |  Services LLC - A57

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.

• 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

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.

• 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

• 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 Py Torch

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit  .

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.