Senior Geospatial Machine Learning Engineer

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Clera

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

💰 $180k Grant on 2025-04

Clera is a company that displays an onboarding/setup message to users: "Please wait while we prepare everything for you. " Based on this single line of text, the company's specific product, service, or industry cannot be determined with confidence. The message suggests Clera provides a user-facing digital service or application that performs setup or provisioning, but there is insufficient information to identify a precise industry.

📋 Description

• 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 • Lead projects end-to-end from planning and execution through delivery • Communicate the value of work to cross-functional stakeholders across the organization • Build measurement frameworks and tooling to evaluate model performance • 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

🎯 Requirements

• 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 such as rasterio, geopandas, shapely, and GDAL • Proficiency with geospatial data formats • Eligible to work without visa sponsorship; no visa sponsorship is available • Experience with Python-based ML/deep learning frameworks such as PyTorch, TensorFlow, and scikit-learn • Experience with data pipeline orchestration tools such as Dagster, Airflow, or 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 • Experience with multi-spectral or hyperspectral satellite imagery data is nice to have • Background in vegetation analysis, forestry, agriculture, or environmental monitoring applications is nice to have • Experience with monitoring and observability tools such as Grafana, Sentry, or Prometheus is nice to have • Track record of leading cross-functional projects or initiatives from planning through delivery is nice to have

🏖️ Benefits

• Fully remote work arrangement • Opportunity to make a direct, measurable impact on grid resilience and climate action • Mission-driven climate-tech work focused on wildfire prevention and power outage prevention