Staff Geospatial Machine Learning Engineer

Posted about 1 year agoViewed
United StatesThe NetherlandsUnited KingdomIrelandEstoniaPortugalSpainFranceSwedenCanadaClimate technology
Company:Overstory
Location:United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, Spain, France, Sweden, Canada, GMT/ CET
Languages:English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Indonesian, Cantonese, Estonian, Korean
Seniority level:Senior, At least 8 years
Experience:At least 8 years
Skills:
LeadershipPythonMachine LearningNumpyPyTorchAlgorithmsGrafanaPandasTensorflowCollaboration
Requirements:
At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer. Advanced scientific Python experience, including libraries like numpy, scipy, scikit-learn, pandas. Experience with geospatial or satellite data, and tools such as gdal, rasterio, shapely, fiona, geopandas, QGIS. Experience with deep learning algorithms, particularly in geospatial contexts, using tools like pytorch and tensorflow. Experience in leading small teams organized around projects or initiatives. Passion for climate issues. Enjoy working in a remote-first, fast-paced environment.
Responsibilities:
Develop new vegetation intelligence products using geospatial Python libraries and machine learning tools. Support existing products through data exploration, model improvements, and bug fixes. Lead projects and initiatives, ensuring the value of contributions is communicated to stakeholders. Build tooling and processes to measure the value and performance of contributions.
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