Machine Learning Engineer


We are looking for a Machine Learning Engineer who can apply sophisticated machine learning methods to text and mixed sources. Machine learning techniques will include recurrent, long short-term memory and convolutional neural networks, vector space embeddings, and other algorithms related to time series analysis, supervised and unsupervised learning.


  • Degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent.

  • Familiarity with toolkits such as Torch, Theano, TensorFlow and xgboost.

  • Strong expertise in reinforcement learning and / or deep learning.

  • Experience with GPU programming.

  • Flexible in choice of programming language. Competent in Python with a desire to learn more.

  • Good knowledge of algorithm design.

Desirable qualifications:

  • Expertise in linear algebra and calculus.

  • Experience with multi-threaded design and parallel/distributed computing.

  • Experience with implementing numerical methods and data visualisation.

  • Familiarity with infrastructure tools, such as Docker, Hadoop and Kubernetes.

Have any questions? Contact our CTO Mathias Bæk Tejs Knudsen