Machine Learning Engineer - Spatial AI

Location: Paudex, Vaud, Switzerland; hybrid workplace with the option to work remotely up to 2 days per week

Company

hirify.global develops collision-tolerant inspection drones and robotic systems for surveying hazardous and confined environments.

What you will do

• Design and implement AI models and algorithms for 2D and 3D scene understanding.
• Combine camera and point-cloud data into semantic spatial maps using multi-view and cross-modal information.
• Develop semantic understanding for mapping, navigation, inspection planning, and natural-language-guided missions.
• Prepare and analyze real-world drone datasets, evaluate models, and convert failure cases into improvements.
• Build Python and PyTorch research and production pipelines from experimentation through deployment.
• Collaborate with mapping, sensor, and product teams to integrate spatial AI into robotic inspection systems.

Requirements

• At least 3 years of experience developing machine learning or computer vision systems in academic, industrial, or robotics environments.
• Deep expertise in semantic segmentation for 2D imagery and/or 3D point clouds, including architectures, training, data preparation, and evaluation.
• Production-grade experience with semantic segmentation, instance segmentation, or object detection through deployment.
• Strong proficiency in Python and PyTorch, with software engineering skills for maintainable systems.
• Experience with real-world datasets, model evaluation, systematic error analysis, and the end-to-end machine learning lifecycle.
• Proficiency in English is required. French is a plus.

Nice to have

• Experience with multi-view geometry, 3D reconstruction, SLAM, or semantic mapping.
• Experience deploying AI models on resource-constrained robotic or embedded platforms.
• Experience with robotics systems or autonomous platforms.
• Experience connecting semantic maps, perception, and language for natural-language robot interaction.
• Experience with LLM fine-tuning, RAG, and evaluation for real-world or multimodal AI systems.

Culture & Benefits

• 25 vacation days per year plus public holidays, with up to 5 additional seniority-based days.
• Comprehensive accident insurance covering medical treatment and hospitalization.
• Flexible schedules and hybrid work with remote work available up to 2 days per week.
• Gym membership and sports event discounts, plus additional discounts through Swibeco.
• Team events including ski weekends, summer barbecues, and after-work gatherings.
• Collaborative environment that values independent thinking and employee contributions.