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1 день назад

Applied Scientist (Edge AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Scientist (Edge AI): Developing new evaluation methods for multimodal language models and agents for consumer devices with an accent on audio, vision, and reliability. Focus on inventing automated evaluation methods like LLM-as-judge and analyzing large datasets to enhance model capabilities for production use cases.

Location: Onsite in Cambridge, UK

Company

hirify.global Devices is an inventive R&D company designing high-profile consumer devices such as Echo, Fire Tablets, and Fire TV.

What you will do

  • Collaborate with cross-functional engineers and scientists to advance multimodal model evaluations for audio, images, and videos.
  • Invent and validate reliability for novel automated evaluation methods, such as fine-tuned LLM-as-judge.
  • Develop and extend evaluation frameworks to support expanding capabilities for multimodal language models.
  • Analyze large offline and online datasets to interpret model failures and identify gaps in model capabilities.
  • Work with compiler engineers and product teams to bring algorithms and models into production.

Requirements

  • PhD, or a Master's degree with relevant experience in CS, CE, ML or a related field.
  • Proven experience with patents or publications in top-tier peer-reviewed conferences or journals.
  • Proficiency in programming with Python, C++, Java, or related languages.
  • Strong expertise in algorithms, data structures, numerical optimization, or parallel/distributed computing.
  • Experience building machine learning models for practical business applications.

Nice to have

  • Experience using Unix/Linux environments.
  • Experience in professional software development.

Culture & Benefits

  • Inclusive culture that empowers employees to deliver best results for customers.
  • Environment focused on passion for discovery, invention, simplification, and building.
  • Commitment to diversity and equal opportunity employment.
  • Strong emphasis on data privacy and security as a top priority.

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