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.
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