Senior AI Engineer (f/m/x)

<h3>Build the Market Leader in Satellite Analytics with us at LiveEO</h3> <p>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.<br/><br/>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.<br/><br/><p>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.</p></p> <h3>Your challenge</h3> <ul><li>Design and prototype multimodal architectures that combine optical and SAR inputs;</li><li>Explore or adapt emerging foundation models for remote sensing tasks;</li><li>Benchmark different modeling strategies and evaluate performance across diverse datasets;</li><li>Build scalable training pipelines including tiling, sampling, augmentations, and distributed training workflows;</li><li>Optimize pipelines for throughput, memory, and cost using Databricks, PyTorch Lightning, and MLflow;</li><li>Automate experimentation, tracking, and comparison using MLflow and Databricks;</li><li>Ensure your models and pipelines integrate smoothly into LiveEO’s production systems.</li></ul><br/><br/> <h3>Your profile</h3> <ul><li>Strong Python engineering fundamentals with clean, maintainable coding style;</li><li>Deep experience with PyTorch and PyTorch Lightning;</li><li>Experience implementing and training deep learning models at scale;</li><li>Strong understanding of ML experimentation, versioning, and tracking via MLflow and Databricks;</li><li>Excellent problem-solving, debugging, and optimization skills;</li><li>Familiarity with AWS or other cloud platforms;</li><li>Geospatial experience is highly preferred, including tools such as GDAL, Rasterio, GeoPandas, STAC, and basic SAR preprocessing libraries.</li></ul><br/> <h3>Your Benefits</h3> <ul><li>The opportunity to create a product that can improve business processes and lives across the globe;</li><li>Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance;</li><li>We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold;</li><li>Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest;</li><li>A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons;</li><li>Office located in the centre of Berlin Kreuzberg with free fruit, nuts and drinks;</li><li>Potential to participate in the employee stock option program;</li><li>Urban Sports membership and BVG subsidy, corporate pension program;</li><li>A diverse and vibrant international environment of 30+ different nationalities.</li></ul>