Experienced Machine Learning Engineer
At S[&]T we are specialized in Business solutions for space, science, and defence. We live and breathe innovation, and are one of the few partners that work together with High Tech organizations in optimizing performance through projects on-site or in-house
Do you believe you have passion for Business on advanced signal processing algorithms and waveforms for future phased array radar systems? If so, come join our team of world-renowned experts! We have excellent career opportunities to match your ambition.
S[&]T Norway is a privately owned SME company conducting high-tech projects and consultancy within the Earth Observation sector. S[&]T has provided software and processors for new satellites to the European Space Agency for more than 10 years. In addition, we process and analyse satellite images for monitoring the environment, applying deep learning methods. For more information see www.stcorp.no
Are you fascinated by data science and want to be part of the exciting and continuously developing space industry? Are you ambitious and looking for challenging projects to grow your skills?
Come and join our S[&]T Earth Observation/Machine Learning (EO/ML) team in Oslo, Norway (www.stcorp.no). We are specialised in R&D, deep learning solutions for space, science, and environmental monitoring using Earth Observation data. Together with our national and international customers, mainly within the space industry, we utilise novel techniques to analyse and process data from satellite imagery.
We are looking for a passionate machine learning engineer to support our EO/ML team.
You have a minimum of 2 years of hands-on work experience with machine learning. Image processing, especially segmentation with deep learning, is a big plus
You have experience with software development, preferably in Python
You have completed a higher technical education (MSc or PhD) in Physics, Astronomy, Computer Science, or similar topics
You have a strong analytical mindset that enjoys coming up with novel solutions
You are capable of self-study and quickly acquiring new knowledge/new skills across technical areas
You are fluent in written and spoken English
Be open-minded, and cooperate well within a team; share knowledge, experience and information; proactively support others in the pursuit of team goals
Experience with Pytorch
Experience with semantic segmentation
Background from working with Earth Observation data
Teaching and/or mentoring experience
Research and implement deep learning algorithms
Mentoring junior engineers
Communication with the project partners and/or the customer within the projects
Communication of your technical opinions and results within the Company
Presenting project results and representing the Company on conferences, commercial and outreach events
Support on proposal/bids writing
Flexibility within projects
A unique culture and environment with passionate colleagues
The opportunity to work with a modern technology stack
The opportunity to be involved in European projects in teams of multinational top scientists & engineers
The possibility to enhance your professional knowledge and skills by further education, training and attending courses or conferences
An office located at the MESH Community, Nationaltheatret, Oslo.
Only applications with a motivation letter will be evaluated.
Before the first interview, the selected candidates will be asked to complete a work assignment.
Please note that if you do not hear back from us within 10 days from your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually, however, due to a high volume in response, we might not be able to reject your application in person.
Would you like to hear more about the position? Please send your CV and motivational letter to firstname.lastname@example.org, or reach out to Kenneth Hauglund, Managing Director, at +47 95 46 36 20.
GDPR, personal information
In order to apply for this vacancy you must submit your personal information to Science [&] Technology. Science [&] Technology will collect, use and process your personal information as mentioned
Response time, expectations
Please note that if you do not hear back from us within 10 days about your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually, however, due to a high volume in response, have not been able to reject your application in person.