About RagnaRock Geo
RagnaRock Geo develops AI software which aids oil and gas companies in exploration. The software uses machine learning to interpret subsurface data and has an intuitive interface which acts as a "smart assistant" for exploration experts. RagnaRock Geo’s mission is to make the interpretation workflow more efficient and creative so that geoscientists can focus on the value-creating tasks. We are a young and agile startup that aims to excel at using machine learning on subsurface data.
We are looking for a machine learning engineer to join our team in Oslo. You will be working closely with the rest of our excellent team of machine learning engineers, software engineers and mathematicians to deliver a high‐end product for the oil and gas industry. Our software infrastructure and mindset facilitates extensive experimenting with the latest developments in machine learning.
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
Work with big data and build distributed, scalable, and reliable data pipelines and process data at scale and in real-time.
Contribute to the overall product development strategy
You should apply if
You have experience with developing machine learning models using frameworks such as Tensorflow, Keras, Caffe, Chainer, PyTorch, or similar
You are an experienced programmer with understanding of software architecture, data modelling and data structures
You have analytical and problem-solving skills
You like to take initiative and enjoy working in a team
You hold a Master’s or Bachelor’s degree in computer science, mathematics, or other STEM subject, or have other similar experience
Also nice if you have
Experience with Python, and relevant libraries like numpy and tensorflow
Interested in problem solving, statistics, math and algorithms
Experience writing robust code with focus on reusability and documentation
Experience with UNIX
Experience with software development in teams, using tools and methods like Git, Scrum, Kanban, OKR, or similar.
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
Participate in regular company-sponsored software, machine learning and industry conferences around the world
Competitive salary and compensation package including participation in an employee equity program
Flexible working arrangements
RagnaRock develops machine learning-based software that extracts more value from subsurface data, increase workflow efficiency and provide better decision support.