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Applied Scientist - LLM, Alexa

ENGINEERINGUK

London

On-site

GBP 50,000 - 90,000

Full time

Yesterday
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Job summary

An exciting opportunity awaits within a forward-thinking organization for an Applied Scientist specializing in NLP and Large Language Models. This role involves collaborating with a dynamic team of scientists and engineers to enhance the capabilities of conversational assistants, ultimately revolutionizing user experiences for millions. You will tackle complex problems, develop cutting-edge algorithms, and analyze customer behaviors to drive actionable insights. If you are passionate about technology and eager to make a significant impact, this position offers a unique chance to contribute to groundbreaking advancements in the field.

Qualifications

  • PhD or Master's in CS, CE, ML or related field required.
  • Experience in programming languages and machine learning models is essential.

Responsibilities

  • Develop innovative solutions for conversational assistants.
  • Research and implement algorithms to improve user experience.

Skills

Natural Language Processing (NLP)
Large Language Models
Algorithms and Data Structures
Data Mining
Programming (Java, C++, Python)
Machine Learning Models

Education

PhD in Computer Science or related field
Master's degree in Computer Science or related field

Tools

Unix/Linux

Job description

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DESCRIPTION

We have an exciting position within Alexa for an Applied Scientist with a strong background in NLP and Large Language Models to help us develop state-of-the-art conversational systems.
As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants' capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.

Key job responsibilities
As an Applied Scientist, you will develop innovative solutions to complex problems to extend the functionalities of conversational assistants.
You will use your technical expertise to research and implement novel algorithms and modelling solutions in collaboration with other scientists and engineers.
You will analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
You will communicate results and insights to both technical and non-technical audiences through written reports, presentations, and external publications.

BASIC QUALIFICATIONS

  1. PhD, or a Master's degree and experience in CS, CE, ML or related field
  2. Experience in patents or publications at top-tier peer-reviewed conferences or journals
  3. Experience programming in Java, C++, Python or related language
  4. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  5. Experience in building machine learning models for business applications

PREFERRED QUALIFICATIONS

  1. Experience using Unix/Linux
  2. Experience in professional software development

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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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