Lead Machine Learning Engineer - 3D Data (F/M/D)
Munich Hybrid (NavVis GmbH)
R
EUR 69K-88K (estimate) Senior-level Full Time
Tasks
- Adapt models and evaluate against ground truth geometry
- Analyze model results using geometric quality metrics
- Analyze model results using perceptual quality metrics
- Build 3D data pipelines end to end
- Build scalable reproducible training pipelines
- Design machine learning models for 3D point cloud data
- Implement point cloud filtering and denoising methods
- Implement point cloud registration methods
- Implement surface reconstruction models
- Integrate 3D ML solutions into production workflows
- Optimize deep learning models for 3D geometric processing
- Preprocess and augment 3D training data
Perks/Benefits
- Bike leasing
- Fitness and Wellness Subsidy
- Flexible working hours
- Hybrid work setup
- Paid time off
- Visa and relocation support
Skills/Tech-stack
3D data | 3D data pipelines | Cloud processing | Computational Geometry | Convolutional Networks | Data Augmentation | Data Pipelines | Deep learning | Denoising | Graph Neural Networks | Linear Algebra | Machine Learning | Neural Networks | Optimization | Point Cloud | Point Cloud Processing | Point cloud filtering | PointNet++ | PyTorch | Python | Registration | Scikit-learn | Sparse Convolutional Networks | Surface reconstruction | TensorFlow | Transformer Models
Education
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