LiveEO leverages high-resolution satellite imagery and AI to provide actionable insights across industries—like protecting power grids, monitoring critical infrastructure, and ensuring deforestation compliance.
We are looking for a Senior ML Engineer to build and scale multitemporal, multimodal computer vision models for Earth observation. You’ll combine optical and Synthetic Aperture Radar (SAR) data into robust representations. This role is a true balance of applied research and engineering: you’ll own the full ML R&D lifecycle from data standardization and SOTA model development to rigorous evaluation and production-grade delivery.
Tech Stack: Python, PyTorch/Lightning, Databricks, MLflow, Ray, Prefect, AWS, Geospatial stack (GDAL, Rasterio, GeoPandas, STAC), PostgreSQL.
What we're looking for:
* Strong Python engineering and deep PyTorch/Lightning experience.
* Proven experience implementing and training deep learning models at scale.
* Hands-on experience with satellite imagery (optical & SAR strongly preferred).
* Strong CV fundamentals (representation learning, supervision, evaluation) and ML experimentation (Databricks/MLflow).
* Pragmatic mindset: you can take SOTA papers to validated baselines and production under real-world constraints.
Must be living in or willing to relocate to Berlin. This role requires German/European citizenship due to legal/regulatory requirements.
(Bonus points for experience with large-scale geospatial foundation models, VLMs, or distributed compute with Ray).
Apply here: https://liveeo-gmbh.jobs.personio.de/job/2540514