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← All postings · January 2025 thread

Spatialise

Intern Geospatial Data Scientist, Intern Machine Learning Engineer, Intern Full-

CompanySpatialise
Websitespatiali.se
Roles
  • Intern Geospatial Data Scientist, Intern Machine Learning Engineer, Intern Full-
  • Intern Geospatial Data Scientist - Soil Health, https
  • Intern Machine Learning Engineer - Geospatial Data, https
  • Intern Full Stack Engineer Typescript / Python https
Typeinternship
Role taxonomyAI / ML / ResearchData / AnalyticsFull-stack / Product EngineeringIntern
SpecialtiesMachine Learning, Data Science, Full-stack
LocationRemote (EU)
Salary
Apply viaApplication linkhttps://jobs.polymer.co/spatialise/33166 · anton@spatiali.se
Hiring notesInterns welcome.
TechTypeScriptPythonML/AI
RegionsEU
Posted bystere0
PostedJan 8, 2025
SourceView on Hacker News ↗

Original posting

Spatialise | https://spatiali.se/ | Intern Geospatial Data Scientist, Intern Machine Learning Engineer, Intern Full-stack | REMOTE (Europe, Africa, LATAM, 4 hours overlap with Amsterdam) Spatialise is on a mission to empower farmers, NGOs, and corporations to regenerate soils and nurture our planet through remote sensing and machine learning. We are looking for interns to help with geospatial data analysis, machine learning engineering and full-stack development. You'll contribute directly to our core product, which helps our clients get better insights on nutrients in the soil. We are open to remote positions as long as you have 4 hours overlap with Amsterdam and you're located in Europe, Africa or Latin America. These roles are the perfect fit for entrepreneurial people who want to contribute to a better planet. - Intern Geospatial Data Scientist - Soil Health, https://jobs.polymer.co/spatialise/33166 - Intern Machine Learning Engineer - Geospatial Data, https://jobs.polymer.co/spatialise/33155 - Intern Full Stack Engineer Typescript / Python https://jobs.polymer.co/spatialise/33167 With any questions mail at anton [at] spatiali.se.