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Deep Learning Engineer

Luxembourg (Luxembourg)

  • Organization: WEO
  • Location: Luxembourg (Luxembourg)
  • Grade: Level not specified
  • Occupational Groups:
    • Information Technology and Computer Science
    • Engineering
    • Environment
  • Closing Date: 2021-10-20

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Leverage the power of machine learning to create meaningful environmental analytics using satellite imagery. WEO is a rapidly-growing start-up based in Luxembourg’s City Incubator who is focussed on using the power of space data for tackling climate change and the water crisis. This is an opportunity to work in an inclusive and diverse female-led start-up who are intent on making a big positive impact on our planet using the latest innovation in space imagery and artificial intelligence.


       Develop deep-learning algorithms to create value from remote sensing data

       Design a scalable and fit-for-purpose tech stack for our geo-analytics

       Build production-ready data pipelines within WEO’s cloud infrastructure

       Work collaboratively and inclusively with remote sensing experts, project manager and other key stakeholders to take solutions to commercialisation


       Masters in Computer Science/GIS/Engineering or equivalent experience

       High level programming – Python

       Experience with deep learning networks (Tensorflow, Keras, PyTorch)

       Desirable experience working with geospatial data (gdal/ogr)

       Desirable experience working with serverless architecture

       Self-driven and transparent

       Keen to contribute to an inclusive, flexible and supportive team environment


WEO offers a positive, inclusive and inspiring work atmosphere in a female-led team at the forefront of innovation in the space and environment sectors. We offer:


       Competitive salary

       Office space in the Luxembourg City Incubator

       Flexible working hours and conditions – family-friendly

       Excellent personal development opportunities


       Support for self-driven projects

       Work-from-home options

       Team-building and events

       Work with an experienced and driven diverse team in a positive environment


Note, applicant must be Luxembourg-based or have European work rights and be prepared to move to Luxembourg or surrounding areas. 




WEO wants to make environmental analytics available to all by leveraging the power of Machine Learning to turn Satellite Data into powerful and actionable insights for governments and companies. We have worked extensively with the European Space Agency, Luxembourg Space Agency, Start-Up Luxembourg, Luxembourg Water Agency, Ville de Luxembourg and more. Currently WEO is scaling up our services in tree management, water management and urban greening. As a socially and environmentally-conscious team led by two female founders, we believe that a family-friendly and supportive work environment allows us to do our best work.


We do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify.
Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.
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