Machine Learning Engineer Spatial AI

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.

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

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

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