Senior Geospatial Machine Learning Engineer

Навыки

• Airflow
• Computer Vision
• Dagster / Prefect / Luigi
• Решения на данных
• dbt
• Отладка и поиск ошибок
• Grafana

О компании и продукте

• 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.

Задачи

• 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

Требования

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

Будет плюсом

• Experience working with multi-spectral or hyperspectral satellite imagery data
• Background in vegetation analysis, forestry, agriculture, or environmental monitoring applications
• Experience leading cross-functional projects or initiatives from planning through delivery
• Passion for climate action and applying technology to complex, real-world environmental problems

Условия

• 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

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