Senior Geo Data Scientist

VRIFY is seeking a Senior Geo Data Scientist to build ML systems that turn complex geospatial data into actionable predictions for mineral exploration. This role spans ingestion, feature engineering, model deployment, monitoring, and reliability, using modern AI methods such as Vision Transformers and GNNs. The position is a senior individual contributor role on a small, high-trust team, remote-first within Canada.

• Design and deploy ML models for geospatial applications, including Vision Transformers and GNNs on high-dimensional raster and spatial datasets.
• Build scalable, automated data pipelines covering preprocessing, feature engineering, sampling, and spatial cross-validation.
• Own end-to-end ML workflows: scheduling, monitoring, alerting, retraining, and reliability.
• Develop custom geospatial models and features that capture real-world spatial patterns.
• Apply model interpretability techniques to understand spatial patterns and feature influence.
• Use Google Earth Engine, Hugging Face, and similar tools to scale geospatial AI in production.

• BSc, MSc, or PhD in Computer Science, Engineering, Geoscience, or a related field (or equivalent practical experience).
• 5+ years in ML, data science, or software development, including production ML systems.
• Strong Python and modern ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn).