AI Research Engineer – Distributed learning / optimization / federated learning

AI Research Engineer – Distributed learning / optimization / federated learning

  • Contract, Full Time
  • London, UK

AI Research Engineer – Distributed learning / optimization / federated learning

An exciting, globally leading, electronics company are actively looking for a Research Engineer (Distributed Artificial Intelligence) to join their R&D centre in London.

This will be a long term project, initially 6 months rolling contract with expected extensions as we have seen before for many years.

  

As a AI Research Engineer  your responsibilities will include: 

  • Research state-of-the-art solutions for  large-scale AI problems
  • Development of high quality code
  • Technical responsibility for one or more significant sections of the assigned projects
  • Publication in top-tier conferences and journals eg. NeurIPS, ICML, ICLR, AAAI, Interspeech, CVPR.

As a  AI Research Engineer your skills will include:

  • Masters degree or PhD in relevant field (Machine learning, computer science etc)
  • Experience in one or more general purpose programming languages including
    Python, Java, C and C++.
  • Experience in dissemination of technical and scientific results in top-tier conferences
  • Experience with one or more of the following: distributed learning, optimization, federated learning, continual learning, domain adaptation, and/or meta-learning.

If you are interested in this AI Research Engineer position please send a cv attached to your application or send to os@eu-recruit.com.

 

AI Research Engineer – Distributed learning / optimization / federated learning

#AI

#ArtificialIntelligence

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