Clera
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.
Senior Geospatial Machine Learning Engineer
🔥 1 minute ago
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Clera
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 tools • Support existing products through data exploration, model improvements, and bug fixes • Lead projects and initiatives end-to-end, including planning, execution, and delivery • Communicate the value of contributions to stakeholders across the organisation • Build tooling and processes to measure team performance and business value • Support data-driven prioritisation decisions • Collaborate with upstream data ingestion teams and downstream delivery/refinement teams across the scientific product lifecycle • Contribute to team culture, processes, and technical direction
🎯 Requirements
• 8–10+ years of relevant experience in machine learning engineering, geospatial engineering, or a closely related field • Strong proficiency in Python • Hands-on experience with GDAL, Rasterio, Shapely, Fiona, and GeoPandas • Experience with NumPy, SciPy, scikit-learn, and Pandas • Practical experience with PyTorch and/or TensorFlow • Comfortable working with satellite or aerial imagery and raster/vector geospatial datasets • Experience with workflow orchestration tools such as Dagster or similar • Ability to lead projects independently and communicate technical work clearly to non-technical stakeholders • Passion for climate action and solving complex environmental challenges through technology • Familiarity with vegetation science, forestry, or utility/energy infrastructure domains is nice to have • Experience with Sentry or Grafana is nice to have • Background in climate tech, geospatial AI, or remote sensing is nice to have • Visa sponsorship is not available for this role
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