About this role

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

Source listing: ashby_clera