Senior Geospatial Machine Learning Engineer

Role Description

Join a mission-driven, AI-powered climate tech company using advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation risks before they become critical. As a Senior Geospatial Machine Learning Engineer on the Vegetation Modeling team, you'll develop and improve ML solutions that analyze geospatial data and satellite imagery at scale — making a direct impact on grid resilience and climate action. The team spans the Americas and Europe, and this role is fully remote.

• Develop new vegetation intelligence products using geospatial Python libraries, machine learning, and deep learning techniques.
• Maintain and improve existing products through data exploration, model optimization, and debugging using tools such as QGIS, Dagster, Sentry, and Grafana.
• Lead projects end-to-end — from planning and execution through delivery — and communicate the value of your work to cross-functional stakeholders across the organization.
• Build measurement frameworks and tooling to evaluate model performance and guide data-driven decisions about where to focus impact.
• Collaborate with upstream data ingestion teams and downstream product delivery teams to shape platform architecture and pipelines.

Qualifications

• 5+ years of experience as a Machine Learning Engineer or Data Scientist building and deploying production ML/deep learning models.
• Demonstrated experience building computer vision or deep learning models on satellite or aerial imagery.
• Proficiency with geospatial Python libraries (e.g., rasterio, geopandas, shapely, GDAL) and geospatial data formats.

Requirements

• Experience with Python-based ML/deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data pipeline orchestration tools (e.g., Dagster, Airflow, dbt) or equivalent workflow management systems.
• Experience with QGIS or equivalent geospatial visualization and analysis software.
• Experience with model monitoring, evaluation metrics, and performance measurement in production environments.

Benefits

• Compensation details were not provided for this role. A competitive package commensurate with experience is expected for a senior-level position at a well-funded climate tech company.

Location

• Work arrangement: Fully remote
• Eligible locations: Canada, United States, and select European countries
• Visa sponsorship: Not available — candidates must have existing work authorization