The posting
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.
## 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
## Profile - 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
## Offer - 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
## Company Robotics / drone technology
Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/machine-learning-engineer-spatial-ai-tah-zkywy/



