Applied Scientist, Alexa

1 week ago


Cambridge, Cambridgeshire, United Kingdom Evi Technologies Limited Full time

The Amazon Artificial General Intelligence (AGI) team is seeking a passionate and innovative Senior Applied Scientist with a strong background in machine learning to lead the development of cutting-edge ML systems for creating advanced conversational assistant systems.

As a Senior Applied Scientist, you will play a crucial role in advancing personalization techniques for conversational systems, especially those leveraging large language models, to meet customer needs.

You will tackle Amazon-scale scenarios that significantly impact customer experiences. Key job responsibilities:

  • Use deep learning, ML, and NLP techniques to devise scalable solutions for crafting personalized assistant systems rooted in language models, using a variety of structured and unstructured contextual signals.
  • Innovate novel approaches for extracting contextual knowledge and representing information, leveraging language models and other learning methods to ensure effective context integration in memory, CPU, latency, and quality considerations.
  • Collaborate with multidisciplinary teams of engineers, product managers, and scientists to address intricate challenges in personal knowledge aggregation, processing, and validation.
  • Design and conduct experiments to assess the performance of diverse algorithms and models, iterating rapidly to enhance outcomes.
  • Envision the evolution of conversational assistant system personalization over several years, spotting fresh opportunities to apply these technologies to solve real-world issues.
  • Share findings and insights with technical and non-technical audiences through presentations and reports.
  • Provide mentoring to junior scientists and engineers, contributing to team growth and development.

We are considering candidates for roles in either of the following locations: Cambridge, GBR | London, GBR

BASIC QUALIFICATIONS

  • Experience in building machine learning models or creating algorithms for practical use.
  • Proficiency in developing and implementing deep learning algorithms, especially in the realm of computer vision.
  • Background in areas like algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.

PREFERRED QUALIFICATIONS

  • PhD
  • Knowledge of programming languages like C/C++, Python, Java, or Perl

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