Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.000 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will train state-of-the-art vision models for geospatial analytics and implement cutting-edge ML architectures while enhancing our user-friendly AI platform.
Job Technologies
Your role in the team
- Train and fine-tune state-of-the-art vision models for geospatial analytics.
- Research and implement cutting-edge ML architectures and workflows.
- Contribute to our no-code AI platform, where users can easily train models themselves.
- Apply techniques such as foundation model adaptation, semi-supervised learning, and efficient model deployment.
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Our expectations of you
Qualifications
- Strong grounding in machine learning / deep learning, especially computer vision.
- Interest in geospatial data, Earth observation, or large-scale AI systems.
- A curious mind and motivation to push technical and creative boundaries.
Experience
- Experience with PyTorch, Python, and modern ML workflows.
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Benefits
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Blackshark.ai GmbH
Graz
Our technology is helping to bring the digital and physical world together be it for purpose of simulation, social interaction, gaming, or learning – Blackshark.ai is the 3D canvas for the digital world, acting as crucial enabling technology for the metaverse.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Machine Learning Engineer
- Salary
- from 55.000 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
