Systems Software Developer (Deep Learning / Machine Learning Team)

Coda Octopus designs, manufactures, sells and support, systems and software for the marine- survey, construction and security industries.

We are looking for a new member to join our growing Deep learning/Machine learning Team.

Ideally you will have

  • A Masters in Computer Science, Informatics, Mathematics, Electronic/Electrical Engineering or other relevant field with an emphasis on data analytics;
  • Experience in designing and implementing statistical analytics and machine learning pipelines for scalable high-performance computing;
  • Experience in applying machine learning to real world problems;
  • Knowledge of various network models such as CNNs, GANs and Recurrent networks;
  • Hands-on experience with deep learning frameworks e.g. Cognitive Toolkit, TensorFlow and deep-learning technologies, ideally NVIDIA Deep Learning SDK; and
  • Fluency in the programming languages that we use i.e. C++ and C# with a strong mathematical background.

 The initial focus of your role will be research and then you will take your research into development.

 You will possess excellent interpersonal skills and must have the ability to work well within a team.

 You will have problem solving and creativity skills, honesty and integrity, an eagerness to learn and a high level of personal motivation, drive and energy. Previous experience of working within an agile software development team would be beneficial, although not essential.

 Salary will be competitive and dependent on experience. We offer a competitive benefits package.

 If you feel you have the necessary qualities and qualifications to join our team then please send your CV and covering letter to jobs@codaoctopus.com explaining why this role is right for you. No Agencies.

 Closing date for this position is 21 January 2019 but please send us your application as soon as possible.

Apply Now

Please fill out the form below to submit your application.

Accepted formats: PDF, Word Doc

Accepted formats: PDF, Word Doc

This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply.