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Applied Scientist - LLM, Alexa

Amazon

Cambridge

On-site

GBP 50,000 - 85,000

Full time

4 days ago
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Job summary

A leading technology company is seeking an Applied Scientist specializing in Natural Language Processing and Large Language Models. The successful candidate will innovate in developing state-of-the-art conversational systems for Alexa, collaborating with top scientists and engineers. Key responsibilities include creating complex algorithms, analyzing user behaviors, and presenting insights effectively. Ideal candidates will hold a PhD or Master's degree and have programming experience.

Qualifications

  • PhD or Master's in CS, CE, ML or equivalent experience.
  • Experience in patents/publications at top-tier conferences.
  • Programming experience in Java, C++, Python, or related languages.

Responsibilities

  • Develop innovative solutions to complex problems for conversational assistants.
  • Research and implement novel algorithms and models.
  • Analyze customer behaviors and define metrics for actionable insights.

Skills

Algorithms
Data Mining
Machine Learning Models
Numerical Optimization
Programming in Java
Programming in Python
Programming in C++

Education

PhD in Computer Science, Computer Engineering, Machine Learning
Master's degree in CS, CE, ML or related field

Tools

Unix/Linux

Job description

Job ID: 3006846 | Evi Technologies Limited

We have an exciting position within Alexa for an Applied Scientist with a strong background 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

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or 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 application

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux
- 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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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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