Deep learning scientist

Job Type: Full-time

Competitive salary, equity options and flexible working

Intellegens is a spin-out from the University of Cambridge that has developed a unique deep learning architecture that can work with sparse and noisy data. We are currently working in the drug discovery, material design, and healthcare sectors. As a result of new customer projects and rapid team expansion we are looking to appoint a deep learning scientist to develop novel techniques and deliver customer projects.

Key activities of role

  • Utilize, learn, and develop the latest methods in machine learning
  • Work on real world, high value, machine learning problems and technology that has the potential to scale to globally
  • Clearly communicate the algorithms, data flows, and outcomes with customers
  • Flexible working environment
 -- be a part of a team with no bureaucracy
  • Ambitious to take advantage exceptional career opportunities as a member of the early team

Candidate requirements

  • Educated to MSc or PhD level in the sciences
  • Highly motivated self-start with strong delivery of results
  • Experience in statistical modelling and machine learning
  • Flexible, adaptable, and pro-active with a ‘can-do’ approach
  • Familiar working in Unix environments and experienced of working with a variety of tools

Should you be interested in this position, please send your CV and cover letter to for further information.

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