Senior Geospatial Machine Learning Engineer

About the Role

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.

What You'll Do

• 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.

What We're Looking For

Required (Dealbreakers):

• 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.

Required Skills:

• 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.

Nice to Have:

• Experience working with multi-spectral or hyperspectral satellite imagery data.

• Background in vegetation analysis, forestry, agriculture, or environmental monitoring applications.

• Familiarity with monitoring and observability tools (e.g., Grafana, Sentry, Prometheus).

• Experience leading cross-functional projects or initiatives from planning through delivery.

• Passion for climate action and applying technology to complex, real-world environmental problems.

Compensation & 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