About the job
Hydrosat is at the forefront of space and data analytics, developing an innovative Earth Observation satellite constellation and software designed to harness the transformative potential of thermal infrared imagery. Our mission is to provide unprecedented access to high spatio-temporal resolution thermal infrared data that is currently inaccessible through conventional sources. This data offers valuable insights that contribute to environmental sustainability, enhance food and water security, and support various critical applications. Based in Luxembourg, our downstream applications team leverages advanced remote sensing, machine learning, and state-of-the-art fusion techniques in thermal imagery to deliver scalable and groundbreaking solutions to the agri-food sector.
We seek enthusiastic, innovative, and driven individuals who thrive in a fast-paced, collaborative startup atmosphere. Hydrosat is committed to transforming the utilization of space imagery and revolutionizing agricultural practices. Join our mission to make a significant impact on the world.
As the Machine Learning Engineering Manager, you will spearhead a talented team of scientists and engineers dedicated to applying advanced machine learning and deep learning methodologies to satellite imagery and geospatial data. Your leadership will guide the development of scalable models for image classification, segmentation, and data fusion, utilizing high-performance and cloud computing platforms.
You will be accountable for shaping the technical direction of the team, providing mentorship, and ensuring that our pipelines are not only reliable and reproducible but also aligned with Hydrosat's strategic vision.
