Researcher in Distributed Machine Learning

hace 1 mes


Barcelona, Barcelona, España Telefonica S.A. A tiempo completo
Researcher in Distributed Machine Learning

Telefónica Innovación Digital is seeking a highly skilled researcher to join our team in the area of Distributed Machine Learning. As a researcher, you will have the opportunity to propose and develop research ideas individually and jointly with the rest of the research team and Telefonica at large.

Key Responsibilities:
  • Propose and develop research tracks that advance the state of the art in Distributed Machine Learning.
  • Create and lead collaborations with academic institutions, industrial partners, customers, and government agencies.
  • Pursue funding opportunities for personnel and/or equipment and/or research visits via proposal writing and submission for National and/or European and/or International competitive grants.
  • Disseminate research results via publications and demonstrations in top venues worldwide.
  • Generate intellectual property.
  • Participate in the development of strong collaborative associations with academic institutions, industrial partners, customers, and government agencies.
Requirements:
  • Ph.D. in Computer Science, Telecommunication, Machine Learning, Systems & Networking, or other related fields.
  • Great record of research output (e.g., publications in top conferences and journals in the field).
  • Strong verbal, visual, and written communication skills.
  • Ability to work in a highly collaborative and interdisciplinary environment.
  • Strong knowledge and experience in research in the area of Distributed Machine Learning, Split Learning, systems & networks for Large ML Models (LLM), etc.
What We Offer:
  • Work in a dynamic team and be part of challenging projects that will allow you to play a leading role in the transformation of the company.
  • An interesting package of social benefits (luncheon vouchers, health, life and accident insurance, pension plan, flexible compensation plan...).
  • A flexible working environment with hybrid models of face-to-face and telecommuting.
  • Access to a wide range of continuous learning opportunities for you to grow with us.


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