Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperienced
Schlieren
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DE
DeepMindResearch Scientist, Biosphere Models(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Bachelor's degree
OR
Master's degree
OR
Doctoral / PhD
Work Experience
approx. 4 - 6 years
Tasks
- •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 & Technologies
PythonJAXTensorFlowPyTorchApache BeamSparkEarth EngineGDALRasterioGIS softwareGeoPandas
Languages
English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepMind and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DeepMindResearch Scientist, Biosphere Models(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Data Science
New Job?Nejo!
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Bachelor's degree
OR
Master's degree
OR
Doctoral / PhD
Work Experience
approx. 4 - 6 years
Tasks
- •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 & Technologies
PythonJAXTensorFlowPyTorchApache BeamSparkEarth EngineGDALRasterioGIS softwareGeoPandas
Languages
English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepMind and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
DeepMind
Industry
IT
Description
The company advances the state of the art in artificial intelligence for public benefit and scientific discovery.
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