Job Description

LiveEO is seeking 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 and 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