Senior Machine Learning Researcher (Hybrid)
Job Description
About Blackshark.ai
Blackshark.ai builds scalable AI platforms that enable custom model training on global features, providing real-time, on-demand geospatial insights. Founded in 2020, the company has $35 million in Series A funding from investors including Microsoft M12, Point72 Ventures, and Maxar.
The Role
Senior ML Researcher developing AI models for satellite and aerial imagery analysis, working on large-scale geospatial data to detect and map buildings, roads, vegetation, and more. Hybrid role in Graz.
What You Will Do
-
Train and refine advanced computer vision models for geospatial analysis
-
Research and deploy cutting-edge ML architectures and workflows
-
Contribute to a no-code platform enabling user-driven model training
-
Implement foundation model adaptation, semi-supervised learning, and efficient deployment techniques
Requirements
-
Required: Strong expertise in machine learning, deep learning, and computer vision
-
Proficiency with PyTorch and Python in modern ML workflows
-
Experience with geospatial data, Earth observation, or large-scale AI systems
-
Demonstrated curiosity and drive to advance technical boundaries
What We Offer
-
Minimum salary: EUR 60,000 gross/year (actual compensation varies by experience)
-
Learning opportunities and professional development
-
Comprehensive benefits package
-
European working hours required
Location
Hybrid role in Graz, Austria.
Skills & Technologies
Company Info
Blackshark.ai
Delivers sovereign visual AI infrastructure enabling analysts, governments, and simulation systems t...
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Job Description
About Blackshark.ai
Blackshark.ai builds scalable AI platforms that enable custom model training on global features, providing real-time, on-demand geospatial insights. Founded in 2020, the company has $35 million in Series A funding from investors including Microsoft M12, Point72 Ventures, and Maxar.
The Role
Senior ML Researcher developing AI models for satellite and aerial imagery analysis, working on large-scale geospatial data to detect and map buildings, roads, vegetation, and more. Hybrid role in Graz.
What You Will Do
-
Train and refine advanced computer vision models for geospatial analysis
-
Research and deploy cutting-edge ML architectures and workflows
-
Contribute to a no-code platform enabling user-driven model training
-
Implement foundation model adaptation, semi-supervised learning, and efficient deployment techniques
Requirements
-
Required: Strong expertise in machine learning, deep learning, and computer vision
-
Proficiency with PyTorch and Python in modern ML workflows
-
Experience with geospatial data, Earth observation, or large-scale AI systems
-
Demonstrated curiosity and drive to advance technical boundaries
What We Offer
-
Minimum salary: EUR 60,000 gross/year (actual compensation varies by experience)
-
Learning opportunities and professional development
-
Comprehensive benefits package
-
European working hours required
Location
Hybrid role in Graz, Austria.
Skills & Technologies
Company Info
Blackshark.ai
Delivers sovereign visual AI infrastructure enabling analysts, governments, and simulation systems t...
