Senior ML Engineer

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).