ml engineer for Earth Observation

LiveEO delivers AI-powered Earth Observation insights that help organizations identify critical risks, accelerate response, lower costs, and enable compliance at scale.

• Develop state-of-the-art computer vision systems that extract reliable information from large volumes of satellite imagery through production;
• Design, train, and iterate on vision models for detection, segmentation, classification, change analysis, and geometric vision on VHR satellite imagery;
• Identify and adapt state-of-the-art approaches across computer vision and remote sensing from research papers to validated baselines;
• Bring models to constrained and embedded targets for LiveEO's Twinspector programme using model compression, quantization, and optimization;
• Build training and evaluation infrastructure across cloud and secure on-prem environments;
• Implement experiment tracking, reproducibility, and systematic failure analysis across geographies and acquisition conditions;
• Deliver robust inference interfaces, model packaging, deterministic evaluation, and monitoring;
• Collaborate with the data annotation function on labeling guidelines and edge cases;
• Work with partner teams to turn model capabilities into validated deliverables;
• Collaborate with external researchers and present findings clearly and efficiently.

• Strong computer vision and machine learning fundamentals, including representation learning, supervision strategies, and evaluation design;
• Practical debugging and optimization skills;
• Experience across multiple computer vision problem types, with real depth in at least one;
• Strong Python engineering fundamentals and clean, maintainable code;
• Deep experience with PyTorch and implementing and training deep learning models at scale;
• Strong understanding of ML experimentation, versioning, and tracking;
• Background in remote sensing, computer science, physics, a related field, or equivalent practical experience;
• Comfortable working with researchers and presenting findings clearly and efficiently;
• English at C1 level;
• Work authorization for Germany;
• Willingness to work on-site in Berlin;
• Eligibility to obtain a German security clearance (Sicherheitsüberprüfung).

• No conditions specified