Senior Machine Learning Engineer

Position:
Senior Machine Learning Engineer - Semantic Spatial AI (F/M/D)

Company:
NavVis GmbH

Location:
Germany, Munich

Employment type:
Not specified

Work Arrangement:
Hybrid

Short Summary:
As a Senior Machine Learning Engineer, you will identify and evaluate advances in machine learning, focusing on point clouds and images, and integrate solutions into NavVis IVION to deliver customer value.

Responsibilities:
- Evaluate and integrate AI/ML models for spatial data, primarily point cloud and image data.
- Own practical details for system performance in production.
- Design systematic evaluations using rigorous methodology.
- Diagnose, debug, and enhance ML systems.
- Adapt or fine-tune existing models to deliver meaningful value.
- Collaborate with a team of engineers to turn ML capabilities into valuable features.

Requirement:
- A Master's or PhD in a relevant field (equivalent practical experience is equally valued).
- Several years of experience applying machine learning to real-world problems.
- Proven ability to adapt ML models and frameworks to real data.
- Strong Python skills and experience with modern deep-learning frameworks (PyTorch or TensorFlow).
- A solid foundation in machine learning, linear algebra, and geometry.
- Experience with spatial data, especially point clouds, images, or video data.

Benefits:
- 30 days of paid time off per year.
- Affordable access to fitness and wellness facilities.
- Deutschlandticket subsidy for public transport.
- Flexible working hours and hybrid work setup.
- Full visa and relocation support for international candidates.
- Competitive compensation package.
- Financial support for local language classes.