Mission of this position (overall summary of the purpose, some comments about our current and future projects):

We are looking for a Senior ML Engineer (f/m/x) to build and scale computer vision systems for Earth observation across a range of problems: detection, segmentation, classification, change analysis, and geometric vision such as 3D reconstruction and image matching. You'll work primarily with very high resolution optical imagery and, increasingly, across modalities including synthetic aperture radar (SAR). You'll turn this data into reliable, production-grade capabilities that downstream products depend on, working across the full ML lifecycle from data and training through evaluation to deployment.

An important and growing part of this role is bringing models to where they run under tight constraints. LiveEO is building Twinspector, its own very high resolution satellite constellation, and running vision models efficiently under limited compute, memory, and power (including on-device and toward onboard processing) is increasingly central to what we do. You'll help take models from the training cluster to constrained environments through techniques such as model compression, quantization, and optimization.

This is a balanced role: part applied research, part engineering, all impact. The exact balance depends on your strengths, and we are open to profiles that lean more toward applied research or more toward engineering as long as the fundamentals are strong.

LiveEO is a young, dynamic team that thrives on big challenges and fast learning cycles. We move quickly, stay curious, and genuinely enjoy building together. We're on a mission to break the "curse of Earth Observation": turning incredible satellite data into reliable, actionable decisions that people can trust and use in real operations.

Cross functional collaboration:

You'll be part of Sektion 4, LiveEO's government-solutions product team. Sektion 4 owns its roadmap and delivers funded R&D projects end-to-end, from research through to production, and sets its own technical direction. You'll collaborate with other LiveEO teams and with external research partners while retaining ownership of the team's goals and deliverables. As the role extends toward on-device and onboard inference, you'll also work with the teams building LiveEO's Twinspector satellite programme. You'll work closely with our data and annotation function to define labeling and quality guidelines and to close feedback loops on data quality across geographies and acquisition conditions.

Tech stack & tools, which potential candidate will work with:

Core ML: Python, PyTorch + PyTorch Lightning
Experimentation: MLflow (tracking, model registry)
Compute & orchestration: Ray (distributed compute), Prefect (workflows)
Infrastructure: AWS and secure on-prem environments
Edge / on-device: model compression and optimization for constrained and embedded targets
Geospatial: GDAL, Rasterio, GeoPandas, STAC
Datastores: PostgreSQL (metadata / operational data)

Senior ML Engineer (f/m/x) - Computer Vision for Earth Observation

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