Senior AI Engineer (f/m/x)

AI overview

Drive the development of multimodal AI models using satellite imagery to enhance decision-making across industries, collaborating on innovative projects in a dynamic team environment.

Build the Market Leader in Satellite Analytics with us at LiveEO

LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. For example, we detect trees and their height in high-resolution imagery to help protect power grids, identify dangerous construction work around critical infrastructure, and ensure compliance with deforestation regulations.

We are now looking for a Senior AI Engineer to help build powerful multimodal models and large-scale training systems that operate on both optical/multispectral and Synthetic Aperture Radar (SAR) data. This is a balanced role-part research, part engineering, all impact The work will involve both research-style tasks and practical engineering work.

As a Senior AI Engineer, you will drive the development of state-of-the-art AI systems that can learn from and reason about large volumes of satellite imagery.

Your challenge

  • Design and prototype multimodal architectures that combine optical and SAR inputs;
  • Explore or adapt emerging foundation models for remote sensing tasks;
  • Benchmark different modeling strategies and evaluate performance across diverse datasets;
  • Build scalable training pipelines including tiling, sampling, augmentations, and distributed training workflows;
  • Optimize pipelines for throughput, memory, and cost using Databricks, PyTorch Lightning, and MLflow;
  • Automate experimentation, tracking, and comparison using MLflow and Databricks;
  • Ensure your models and pipelines integrate smoothly into LiveEO’s production systems.


Your profile

  • Strong Python engineering fundamentals with clean, maintainable coding style;
  • Deep experience with PyTorch and PyTorch Lightning;
  • Experience implementing and training deep learning models at scale;
  • Strong understanding of ML experimentation, versioning, and tracking via MLflow and Databricks;
  • Excellent problem-solving, debugging, and optimization skills;
  • Familiarity with AWS or other cloud platforms;
  • Geospatial experience is highly preferred, including tools such as GDAL, Rasterio, GeoPandas, STAC, and basic SAR preprocessing libraries.

Your Benefits

  • The opportunity to create a product that can improve business processes and lives across the globe;
  • Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance;
  • We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold;
  • Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest;
  • A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons;
  • Office located in the centre of Berlin Kreuzberg with free fruit, nuts and drinks;
  • Potential to participate in the employee stock option program;
  • Urban Sports membership and BVG subsidy, corporate pension program;
  • A diverse and vibrant international environment of 30+ different nationalities.

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.
  • Fitness and transportation benefits: Urban Sports membership and BVG subsidy, corporate pension program.
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