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Intern Deep Learning Engineer - Geospatial

Spatialise

Spatialise

Utrecht, Netherlands
EUR 800-800 / month
Posted on May 1, 2025

๐ŸŒ Deep Learning Engineer Intern - Geospatial Data ๐ŸŒ

๐Ÿš€ Join us on a mission to heal the planet, one pixel at a time! ๐Ÿš€

Location: ๐ŸŒŽ Remote with 3 hours overlap with Amsterdam time
Pay: ๐Ÿ’ถ โ‚ฌ800/month for a minimum of 32 hours per week
Duration: ๐Ÿ•’ 6+ months

Who We Are

Welcome to Spatialise, where we blend geospatial magic, machine learning wizardry, and a deep commitment to sustainability to shape the future of agriculture! ๐ŸŒฑโœจ

Founded by a dream team of innovators from Wageningen University, ex-IBM leadership, machine learning experts from Bain & BCG, and researchers from the University of Utrecht, weโ€™re on a mission to empower farmers, NGOs, and corporations to regenerate soils and nurture our planet. ๐Ÿ’ช๐ŸŒ

What Youโ€™ll Be Doing

๐Ÿ’ก Get hands-on: Collaborate with founders and tech leaders to develop deep learning models that impacts our earth.
๐Ÿ›ฐ๏ธ Satellite sleuthing: Work with cutting-edge data like Sentinel1, Sentinel2 and Modis to develop next-gen solutions for monitoring soil health indicators like Soil Organic Carbon.
๐Ÿค– ML magic: Build and refine machine learning models using Python, GeoPandas, PyTorch, PyTorch Geometric and TorchGeo.
โ˜๏ธ Cloud diving: Deploy and scale models on GCP to create real-world impact.
๐ŸŽ“ Learn and grow: Supercharge your skills with our Acceleration Program, designed to make you a geospatial ML superstar! ๐ŸŒŸ

Who You Are

  • A final-year Bachelorโ€™s or Masterโ€™s student in Computer Science, Artificial Intelligence, Data Science, or an equivalent field.

  • Passionate about solving real-world problems and eager to learn.

  • Skilled in Python and have experience with deep learning with Pytorch, Tensorflow, Jax, or similar.

  • Skilled in the mathematics behind deep learning, including linear algebra and calculus.

  • Demonstrated end-to-end ownership in your tasks and enjoy working on complex problems.

  • Enjoy converting research ideas in quick actionable output that can directly be tested for project.

Bonus points if you have

  • Good experience with the tools mentioned in the MIT Missing Semester of Your CS Education course. ๐Ÿ› ๏ธ

  • Experience with Google Earth Engine, Landsat, or Sentinel data. ๐Ÿ›ฐ๏ธ

  • Familiarity with Git and cloud platforms like GCP. ๐ŸŒฉ๏ธ

Why Join Us?

๐ŸŒŸ Make an impact: Build technology that empowers farmers, NGOs, and corporations to cultivate healthier soils and drive sustainable change.
๐Ÿ‘ฉโ€๐Ÿ”ฌ Work with the best: Collaborate with an all-star team of founders and leaders from top institutions and industries.
๐Ÿ’ช Boost your career: Join our Acceleration Program to level up as a geospatial machine learning pro.
โณ Fast-track hiring: Project review โžก๏ธ 30-min interview โžก๏ธ 1-week paid work trial = ๐Ÿš€ start making a difference!