You will develop AI-based perception and spatial understanding for inspection drones, combining 2D images and 3D point clouds into robust semantic representations of complex indoor environments.
Your tasks
- Design and implement AI models and algorithms for 2D/3D scene understanding
- Combine camera and point-cloud data into consistent semantic spatial maps
- Develop semantic understanding to support mapping, navigation and inspection planning
- Prepare and analyze real-world drone datasets
- Evaluate models using quantitative metrics, visualizations and targeted experiments
- Build Python/PyTorch research and production pipelines from experimentation to deployment
- Collaborate with mapping, sensors and product teams on spatial AI capabilities
What you bring
- 3+ years of experience developing machine learning or computer vision systems
- Deep expertise in semantic segmentation in 2D imagery and/or 3D point clouds
- Proven experience developing production-grade computer vision systems
- Strong proficiency in Python and PyTorch
- Strong understanding of the end-to-end ML lifecycle
- Experience with real-world datasets, evaluation and systematic error analysis
- Proficiency in English; French is a plus
Conditions
- Workload: 100 %
- Work model: Hybrid
- Option of a permanent position after the assignment if both sides want it
What to expect
- 100% workload
- Starting date as soon as possible
- Flexible schedules with option to work remotely up to 2 days per week
- 3-6 months interim, then a permanent position
Technologies
- Python
- PyTorch
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Machine Learning Engineer - Spatial AI in Paudex Arbeitgeber: Try&Hire
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