Senior Applied Scientist, Artificial General Intelligence

Company:  Amazon
Location: Seattle
Closing Date: 18/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job ID: 2635575 | Amazon.com Services LLC

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 Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.

Key job responsibilities
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 spoken language understanding.

BASIC QUALIFICATIONS

  • PhD, or Master's degree and 5+ years of applied research experience
  • 3+ 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

PREFERRED QUALIFICATIONS

  • PhD in Computer Science, Electrical Engineering, Mathematics or related field
  • Strong experience with GenAI LLMs and multimodal systems
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals
  • Experience with popular deep learning frameworks, including PyTorch

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

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