Geospatial Deep Learning Scientist

vor 2 Wochen


Munich, Deutschland The Landbanking Group Vollzeit

The Landbanking Group’s (TLG) mission is to completely transform the way we use land in these unprecedented times of accelerating climate change, mass extinction and social divide. A novel, globally active company was founded to turn landowners and land stewards into producers and sellers of ecosystem services and products. TLG integrates diverse geospatial data sources and makes use of the latest machine learning (ML) models for earth observation (EO) data, carbon footprint and biodiversity analysis. Combined with scalable ground-based assessments, e.g. metagenomics, bioacoustics, we develop digital twins of land plots, assess ecosystem quality, verify proof of impact and tokenize the claims so that they can be traded or bundled into tradable assets. TLG is now looking for a Geospatial Machine Learning Scientist (gn) with a methodological focus on AI/deep learning join our ambitious team and help to develop and feed a growing number of models that quantify ecosystem health and ecosystem services worldwide. **Your tasks**: - Design and train EO-driven AI/ML models for automated monitoring of land-use practices and ecosystem health, e.g. tillage detection, field delineation, hedgerow mapping, single tree detection - Integrate pre-trained models through direct wrapping in our pipelines or fine-tuning where needed. - Curate training data sets and design sampling strategies for ground data collection or custom labelling. - Stay up-to-date on recent developments in the fields of EO, ML and AI and feed back into internal model feasibility assessments and product roadmap planning. - A postgraduate degree or >3y working experience in geoinformatics, remote sensing, data science, computer vision, environmental sciences or similar disciplines - A solid understanding of common machine learning strategies (e.g. cross-validation, feature engineering, hyperparameter tuning, accuracy assessment) - Proven experience in deep learning based image segmentation and object detection on EO-data (PyTorch, Keras/Tensorflow) - Familiarity with Linux environments (e.g. docker, bash, AWS) **What's in it for you?**: - ** Impact**: - A working environment based on trust, encouragement and feedback - A positive, inspiring and truly interdisciplinary work atmosphere - High degree of autonomy - Competitive salary - Challenging and novel problems to solve - Work remotely (timezone should be close to Germany) - Learning and development opportunities within and outside our organization - Various employee perks including personal development budget



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