Intrinsic
Research Scientist, Deep Learning(m/w/x)
Vollzeit
Berufserfahren
Keine Angabe
Zürich
DE
DeepMind4 Stunden
Research Scientist, Biosphere Models(m/w/x)
Vollzeit
Senior
AI/ML Job
Data Science
Keine Angabe
Zürich
Nejo KI-Zusammenfassung
In this role, you will leverage your expertise in Geospatial AI to design innovative models and tackle real-world environmental challenges. Your work will involve collaborating with experts, processing vast datasets, and translating research into impactful applications for nature protection.
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Anforderungen
- •BSc, MSc, PhD in Computer Science, Machine Learning, Remote Sensing, Geoinformatics, or related field, or equivalent practical experience
- •Excellent software engineering skills in Python
- •Proficiency in deep learning frameworks like JAX, TensorFlow, or PyTorch
- •Experience with large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure
- •Expertise in Geospatial AI (GeoAI) and Earth Observation (EO) data modalities
- •Experience processing and analyzing Earth Observation data for natural environments
- •Proven track record of publications in top-tier conferences and/or journals
- •Expertise in developing and applying multi-modal, multi-task machine learning architectures for remote sensing applications
- •Deep domain experience in natural environments, specifically geospatial problems
- •Experience developing foundation models, including techniques for self-supervised pretraining
- •Proficiency with geospatial data processing tools and libraries (e.g., Earth Engine, GDAL/Rasterio, GIS software, GeoPandas)
- •Familiarity with challenges of data curation, such as geospatial annotation design
- •Passion for environmental sustainability and using AI to address climate change
Bachelor-Abschluss
ODER
Master-Abschluss
ODER
Doktor / Ph.D.
Berufserfahrung
ca. 4 – 6 Jahre
Deine Aufgaben
- •Design and implement Geospatial AI models on planetary-scale datasets
- •Develop self-supervised or weakly-supervised pretraining methods for data scarcity
- •Build and maintain data pipelines for processing Earth Observation data
- •Lead technical validation of models against ground truth
- •Contribute to validation campaign design and geospatial annotation strategies
- •Collaborate with domain experts to refine model objectives
- •Report and present research findings clearly and efficiently
- •Release open-source code and publish scientific findings
- •Engage with application and product needs to inform research decisions
Tools & Technologien
PythonJAXTensorFlowPyTorchApache BeamSparkEarth EngineGDALRasterioGIS softwareGeoPandas
Sprachen
Englisch – verhandlungssicher
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DeepMind erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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