Description:

Join a mission-driven, AI-powered climate tech company focused on using satellite imagery to prevent wildfires and power outages.
As a Senior Geospatial Machine Learning Engineer, develop and improve ML solutions for analyzing geospatial data and satellite imagery at scale.

Requirements:

5+ years of experience as a Machine Learning Engineer or Data Scientist with production ML/deep learning models.
Experience building computer vision or deep learning models on satellite or aerial imagery.
Proficiency with geospatial Python libraries (e.g., rasterio, geopandas, shapely, GDAL).
Experience with Python-based ML frameworks (e.g., TensorFlow, PyTorch).
Familiarity with data pipeline orchestration tools (e.g., Dagster, Airflow).
Experience with QGIS or similar geospatial software.
Knowledge of model monitoring and evaluation metrics in production.

Competitive compensation package commensurate with experience.
Fully remote work arrangement available for candidates in Canada, the United States, and select European countries.

Skills