Master of Generative Artificial Intelligence Technology

4 weeks ago


London, Greater London, United Kingdom Amazon Full time

Job ID: 2826703 | Amazon Development Centre (London) Limited - C26

About the Role:

We are seeking a highly skilled Applied Scientist to join our team at Amazon's London office. As an Applied Scientist, you will play a key role in developing industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.

Key Responsibilities:

  • You will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multi-modal AGI models, with a focus on speech generation.
  • Leverage Amazon's heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech generation.
  • Work as a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.

About the Team:

The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.

Basic Qualifications:

To be successful in this role, you will need:

  • A PhD, or a Master's degree and experience in Computer Science, Electrical Engineering, Machine Learning, or a related field.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python, or a related language.
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
  • Experience in building machine learning models for business applications.

Preferred Qualifications:

Prior experience in using Unix/Linux and professional software development would be advantageous.

Estimated Salary:

£80,000 - £120,000 per annum based on location and experience.



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