Applied Science Manager, Artificial General Intelligence

Amazon.com • Sunnyvale, CA

71d • $165,500 - $286,000

About The Position

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with generative AI (GenAI) and multi-modal systems. As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision.

Requirements

• 5+ years of scientists or machine learning engineers management experience.
• Experience building machine learning models or developing algorithms for business applications.
• Experience programming in Java, C++, Python or related languages.
• Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet.
• Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals.
• PhD, or Master's degree and 5+ years of applied research experience.

Nice To Haves

• PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field.
• Experience leading, mentoring and growing teams of scientists (teams of five or more scientists).
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience with popular deep learning frameworks, including PyTorch.
• Experience with learning multi-modal LLMs and GenAI in Computer Vision, both in the image and video domains.

Responsibilities

• Lead the development of novel algorithms and modeling techniques for multimodal systems.
• Impact customers through products and services utilizing vision and language technology.
• Leverage Amazon's data sources and computing resources for development with multi-modal LLMs and GenAI.

Benefits

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

What This Job Offers

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