ML / Computer-Vision Engineer Earth Observation

Location: Stockholm (hybrid) or remote in Sweden

Reports to: Geospatial Lead / Head of Data

Type: Full-time

Role summary

You’ll design, train, and productionize EO-specific computer-vision models (segmentation, detection, temporal) and operational dynamics at industrial sites. Your work goes end-to-end: data, modeling, evaluation, deployment, monitoring, and retraining—integrated into our product platform.

What you’ll do

• Build and fine-tune models for multispectral/SAR imagery (e.g., U-Net, Mask R-CNN, temporal networks).
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• Create reproducible training pipelines (data versioning, augmentation for multi-band/SAR, robust eval suites).
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• Define domain-aware metrics (m³ volume estimation, per-AOI precision/recall, temporal deltas).
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• Implement explainability (XAI) and physics-aware validation against ground truth.
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• Partner with data engineers to ship scalable batch/online inference (tiling/COGs, caching, batching).
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• Set up model monitoring, drift detection, and scheduled retraining (MLflow/Kubeflow/CI).
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• Contribute to platform APIs and features for visualization and alerting.
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Must-have

• 3–6 years in ML/CV with hands-on satellite/multispectral and/or SAR data.
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• Strong in PyTorch or TensorFlow; practical experience with U-Net/Mask R-CNN and temporal methods.
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• Proven experience building reproducible pipelines and spatial evaluation metrics.
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• Solid understanding of EO artefacts (clouds, shadows, atmospheric effects) and their impact on models.
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• Proficient Python; EO tooling familiarity (GDAL, rasterio, xarray).
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Nice-to-have

• Experience with volume estimation from overhead imagery, sensor fusion, SAR techniques.
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• Pansharpening, mosaicking, and production deployments in cloud environments.
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• Cost-aware inference at scale (GPU/spot, tiling/COGs, smart batching).
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Why Centersource

• Build the core intelligence behind a Sweden-based product that informs real business decisions.
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• Fast path to production (architecture → pilot → rollout) with clear impact.
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• Autonomy, focused scope, and quick decision cycles within a senior product team.
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How to apply

Send your CV/portfolio/GitHub plus a short note on EO/CV projects you’ve shipped to mai@centersource.io

Subject: ML/CV Engineer (EO).

Working language: English; Swedish is a plus. Applicants must have the right to work in Sweden.