The company 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.

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 have at least one year of work experience as a software developer

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

Job posted on 2 December 2019
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