Applied Scientist, Artificial General Intelligence

Amazon • Sunnyvale, CA

4d

About The Position

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. 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.

Requirements

• 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 PyTorch

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees