ML / Computer-Vision Engineer — Earth Observation

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

The focus will be on creating the data, training and inference pipelines, and productionizing 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).
• Create reproducible training pipelines (data versioning, augmentation for multi-band/SAR, robust eval suites).
• Define domain-aware metrics (m³ volume estimation, per-AOI precision/recall, temporal deltas).
• Select fit-for-purpose XAI methods per model and build/maintain physics-aware validation against ground truth.
• Partner with data engineers to ship scalable batch/online inference (tiling/COGs, caching, batching).
• Set up model monitoring, drift detection, and scheduled retraining (MLflow/Kubeflow/CI).
• Contribute to platform APIs and features for visualisation and alerting.

Must-have

• 3+ years in ML; hands-on satellite/multispectral and/or SAR data.
• Strong in PyTorch or TensorFlow; practical experience with U-Net/Mask R-CNN and temporal methods.
• Proven experience building reproducible pipelines.
• Solid understanding of EO artefacts (clouds, shadows, atmospheric effects) and their impact on models.
• Proficient in Python; familiar with EO libraries (GDAL, rasterio, xarray); and experienced with CI/CD, Kubernetes, MLflow on GCP or AWS.

Nice-to-have

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

Why Centersource

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

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.