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Applied Scientist, Artificial General Intelligence, AGI Generation

Evi Technologies Limited
GBR, Cambridge
Full-time
$125K–$157K
Estimated
Apply Now

Required Skills

Machine Learning Science
Machine Learning
Deep Learning
Llm
Rag
Python
R
Java
C++
Go
Linux
Publications

Job Description

DESCRIPTION: The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive 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.<br><br>Key job responsibilities<br>As an Applied Scientist on our team 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. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech generation.<br><br>This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.<br><br><br>About the team<br>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:

  • PhD, or a Master's degree and experience in CS, CE, ML or related field<br>- Experience in patents or publications at top-tier peer-reviewed conferences or journals<br>- Experience programming in Java, C++, Python or related language<br>- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing<br>- Experience in building machine learning models for business application PREFERRED QUALIFICATIONS:
  • Experience using Unix/Linux<br>- Experience in professional software development<br><br>Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (<a href="https://www.amazon.jobs/en/privacy_page">https://www.amazon.jobs/en/privacy_page</a>) to know more about how we collect, use and transfer the personal data of our candidates.<br><br>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Details

Employment Type

Full-time

Salary Range

$125K–$157K

Estimated

Location

GBR, Cambridge

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