Machine Learning R&D Engineer – Galway

An excellent opportunity to work with a Digital Imaging multinational that are currently going through a period of rapid growth across their automotive, audio and imaging teams.


  • Develop cutting-edge AI and Machine Learning ML technologies for generic and highly-specialized, advanced Machine Learning accelerators
  • Establish the training and testing datasets, generate technical documentation and test procedures
  • Collaborate in the development of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation
  • Keep up to date with latest advances in machine learning / deep learning, both industry and academia
  • Develop and submit invention disclosures
  • Demonstrate a structured and detail-oriented approach and follow rigorous scientific and engineering methods



  • P.hd. qualified with specialism in Artificial Intelligence / Machine Learning OR MSc Degree in a relevant field & relevant industry experience
  • A proven track record of conducting disciplined and productive R&D
  • Direct, and productive experience in development and productization of AI Artificial Intelligence /ML Machine Learning technologies
  • Familiarity with state-of-the-art ML Machine Learning conversant in the latest ML Machine Learning developments, neural network architectures, and training and optimization methods
  • Solid C/C++ and Python programming language skills
  • Familiarity with version control systems, preferably Git
  • Development methodologies such as Agile/Kanban
  • Strong analytical and troubleshooting skills
  • Excellent written and spoken communication skills
  • A strong drive to solve problems and disrupt the status quo 

Ideally you will have some of the following:

  • Proficiency with deep learning development tools such as PyTorch, TensorFlow, Caffe
  • Advanced knowledge and expertise in image sensing, processing, analytics an display, autonomous driving,
  • Demonstrated interest in: machine learning, neural networks, information theory, statistics and probability, modelling and optimization

Please contact Mary-Ann Keena to learn more

+353 (0) 83 0660222

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