RagnaRock develops machine learning-based software that extracts more value from subsurface data, increase workflow efficiency and provide better decision support. RagnaRock´s cloud-based software prototype has been developed in collaboration with Aker BP, Neptune Energy, and DNO. We are a young and agile startup that aims to excel at using machine learning on subsurface data.

What you`ll do

• Design and deploy machine learning systems
• Research and implement appropriate machine learning algorithms using the newest developments in the field
• Create architectures to enable fast, reproducible, and organized experimentation with machine learning
• Write server-side code for Google Cloud Platform based applications, create robust high-volume production applications, and develop prototypes quickly.
• Optimize performance using cloud components such as Pubsub, Kubernetes Engine, and Firebase.

You should apply if

• Experience within machine learning such as computer vision or deep learning
• Looking for hands-on experience with machine learning, cloud, and front-end development
• Willingness to learn, organized and structured
• Good communication skills
• Students between their 3.year to 5.year

We can offer

• A fun start-up adventure with a proactive team that aims to develop a revolutionary software for the oil industry
• Work on some of the most challenging engineering problems out there
• Experience and knowledge within machine learning
• Competitive salary and possible part-time employment after the internship
• Flexible working arrangements

The internship will be 6-8 weeks during summer 2020 located at RagnaRock Geo`s offices in Oslo.