Senior Applied Scientist, Artificial General Intelligence

Amazon • Boston, MA

95d • $150,400 - $260,000

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).

Requirements

• PhD, or Master's degree and 5+ years of applied research experience.
• 5+ years of building machine learning models for business applications.
• Experience with neural deep learning methods and machine learning.
• Experience programming in Java, C++, Python or related language.

Nice To Haves

• PhD in Computer Science, Electrical Engineering, Mathematics or related field.
• Strong experience with model evaluations with multimodal LLMs and Generative Artificial Intelligence (GenAI) in Computer Vision.
• 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 for LLMs.
• Work with peers to advance the state of the art in LLMs.
• Impact customers through products and services utilizing speech and language technology.
• Leverage Amazon’s data sources and computing resources for GenAI advancements.

Benefits

• Equity and sign-on payments may be provided as part of a total compensation package.
• Full range of medical, financial, and/or other benefits.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree