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Senior Applied Scientist, Conversational Modelling and Intelligence, Alexa

Senior Applied Scientist, Conversational Modelling and Intelligence, Alexa
Amazon
Cambridge
GBP 60,000 - 100,000
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GBP 40,000 - 60,000

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West Midlands Combined Authority
GBP 10,000 - 40,000

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GBP 40,000 - 60,000

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Chesterfield
GBP 10,000 - 40,000

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GBP 10,000 - 40,000

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GBP 70,000 - 100,000

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Senior Applied Scientist, Conversational Modelling and Intelligence, Alexa

Amazon
Cambridge
GBP 60,000 - 100,000
Job description

DESCRIPTION

The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact.

As a Senior Scientist within Alexa, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across the organization.

You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

Key job responsibilities

  1. Lead the development of innovative solutions to large and complex problems.
  2. Use your technical expertise to develop and deploy novel algorithms and modelling solutions in collaboration with other scientists and engineers.
  3. Analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
  4. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports and external publications.
  5. Mentor and guide junior scientists and contribute to the overall growth and development of the team.

BASIC QUALIFICATIONS

  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
  • Experience with neural deep learning methods and machine learning.
  • Experience in building machine learning models for business application.
  • Experience in applied research.
  • Experience programming in Java, C++, Python or related language.
  • Strong track record of patents and publications.

PREFERRED QUALIFICATIONS

  • Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects).
  • Experience in building LLMs including SFT, LHF.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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