3 Jobs found

2) Data Scientist — Imagery Ingest & Data PlatformLocation: Stockholm (hybrid) or remote in Sweden Reports to: Geospatial Lead / Head of Data Type: Full-timeFind someone with PHD in computer visionRole summaryYou’ll build and operate our imagery ETL: automated ingest from open/commercial sources, a searchable metadata catalog, cloud-optimized/tiled storage, and model-ready datasets. You own orchestration, reliability, data quality; handoff to MLEs for cost monitoring and production model serving.What you’ll do    Automate ingestion (e.g., Sentinel/Landsat and commercial feeds), harmonize provider metadata to STAC, and build a searchable STAC catalog.    Implement preprocessing: cloud masking, mosaicking, pyramids/tiling, geospatial indexing (GeoParquet/PostGIS).    Orchestrate pipelines wi...

ML / Computer-Vision Engineer — Earth ObservationLocation: Stockholm (hybrid) or remote in SwedenReports to: Geospatial Lead / Head of DataType: Full-timeRole summaryThe 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...

Location: Stockholm (hybrid) or remote in Sweden; occasional domestic travelReports to: Head of Data / CTOType: Full-time, senior technical leadRole summaryOwn methodology, quality, and delivery for our satellite analytics— from ingestion specs and preprocessing to domain-aware algorithms, QA thresholds, and data contracts. You’re the bridge between product, ML, and users, ensuring outputs are accurate, explainable, and production-ready.What you’ll do    Lead EO methodology: cloud masking, atmospheric correction, mosaicking, pansharpening, time-series analysis.    Define and enforce ingestion and quality specs for open/commercial feeds (e.g., Sentinel, Landsat, Planet, Maxar).    Drive feature design and validation for CV/EO models; establish physics-aware checks and a ground-truth program...