Machine Learning Engineer Spatial AI
FlyabilityVisit Flyability website
Swiss robotics company producing collision-tolerant indoor drones and inspection-data software for hazardous and confined spaces.
Paudex, Switzerland
About Flyability
Flyability SA develops the Elios drone platform and Inspector software to enable remote visual inspection, 3D mapping, surveying, and analysis of industrial confined spaces.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement AI models for 2D and 3D scene understanding. You will combine camera and point-cloud data into semantic maps, prepare drone datasets, evaluate and improve models, build Python and PyTorch pipelines, and deploy spatial AI capabilities into inspection systems.
Requirements
- 3+ years developing machine learning or computer vision systems
- Expertise in 2D imagery or 3D point-cloud semantic segmentation
- Experience developing production-grade computer vision systems
- Python proficiency
- PyTorch proficiency
- Understanding of the end-to-end ML lifecycle
- Experience with real-world datasets and systematic error analysis
- English proficiency
Responsibilities
- Design and implement AI models for 2D and 3D scene understanding
- Combine camera and point-cloud data into semantic spatial maps
- Develop semantic understanding for mapping, navigation, and inspection planning
- Prepare and analyze drone datasets
- Evaluate models and turn failure cases into improvements
- Build Python and PyTorch research and production pipelines
- Collaborate to deploy spatial AI capabilities into inspection systems
Benefits
- 25 vacation days per year plus public holidays
- Up to 5 additional seniority-based days off
- Accident insurance covering medical treatment and hospitalization
- Flexible schedules
- Remote work up to 2 days per week
- Discounts on gym memberships and sports events
- Swibeco discounts and rewards
- Team events