Senior Applied Scientist, Artificial General Intelligence

Amazon • Sunnyvale, CA

5d

About The Position

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. 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 speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI). 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.

Requirements

• PhD, or Master's degree and 5+ years of applied research experience
• 4+ 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

Nice To Haves

• PhD in Computer Science, Electrical Engineering, Mathematics or related field
• Strong experience with Generative Artificial Intelligence (GenAI) 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

• lead the development of novel algorithms and modeling techniques
• advance the state of the art with LLMs
• impact our customers in the form of products and services that make use of speech and language technology
• leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees