Flyability
ML/Data Infrastructure Engineer (m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Paudex
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FLFlyability
Machine Learning Engineer - Spatial AI (m/w/x)
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing AI perception and spatial understanding for inspection drones, combining 2D images and 3D point clouds. Deep expertise in modern semantic segmentation and production-grade computer vision systems required. Up to 2 days remote work, 25 vacation days plus seniority days off.
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Anforderungen
- Excitement for making robots understand the physical world
- Combination of strong ML knowledge and solid engineering practices
- Deep expertise in modern semantic segmentation (2D/3D)
- Expertise in model architectures, training, data prep, evaluation
- Proven experience developing production-grade computer vision systems
- Experience in semantic segmentation, instance segmentation, or object detection
- Strong proficiency in Python
- Strong proficiency in PyTorch
- Software engineering skills for maintainable systems
- Strong understanding of end-to-end ML lifecycle
- Evaluating model performance on new environments
- Monitoring for degradation and failure modes
- Identifying improvements: data, retraining, or model changes
- Experience with real-world datasets and evaluation
- Systematic error analysis skills
- Ability to turn failure cases into actionable improvements
- Interest in 3D computer vision
- Interest in multimodal perception
- Interest in sensor fusion
- Interest in spatial AI
- Combining observations across cameras, point clouds, viewpoints
- Ability to move between research, prototyping, and production
- Ability to turn promising ideas into robust robotic capabilities
- Experience with multi-view geometry
- Experience with 3D reconstruction
- Experience with SLAM
- Experience with semantic mapping
- Experience deploying AI models on resource-constrained platforms
- Experience working with robotics systems
- Experience working with autonomous platforms
- Strong interest in bridging semantic maps, perception, and language
- Interest in enabling natural-language interaction with robots
- Experience with LLM fine-tuning
- Experience with RAG
- Experience with LLM evaluation
- Ideally applied to real-world or multimodal AI systems
Aufgaben
- Develop AI-based perception for inspection drones
- Develop spatial understanding for inspection drones
- Combine 2D images and 3D point clouds
- Build semantic representations of indoor environments
- Connect information across different views
- Connect information across different sensing modalities
- Bridge research and engineering
- Turn AI ideas into robotic capabilities
- Design state-of-the-art AI models
- Implement state-of-the-art AI models
- Design AI algorithms for 2D/3D scene understanding
- Implement AI algorithms for 2D/3D scene understanding
- Combine camera and point-cloud data into semantic maps
- Leverage multi-view information for semantic maps
- Leverage cross-modal information for semantic maps
- Develop semantic understanding for mapping
- Develop semantic understanding for navigation
- Develop semantic understanding for inspection planning
- Develop semantic understanding for natural-language-guided missions
- Prepare real-world drone datasets
- Analyze real-world drone datasets
- Evaluate models using quantitative metrics
- Evaluate models using visualizations
- Evaluate models using targeted experiments
- Turn failure cases into model improvements
- Build Python/PyTorch research pipelines
- Build Python/PyTorch production pipelines
- Build pipelines from experimentation to deployment
- Collaborate with mapping teams
- Collaborate with sensors teams
- Collaborate with product teams
- Bring spatial AI capabilities into inspection systems
Berufserfahrung
3 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – fließend
Französisch – Grundkenntnisse
Tools & Technologien
PythonPyTorchMachine LearningComputer VisionSemantic SegmentationInstance SegmentationObject DetectionLLM fine-tuningRAG
Benefits
Flexibles Arbeiten
- Flexible schedules
- Up to 2 days remote work
Mehr Urlaubstage
- Additional seniority days off
Sonstige Vorteile
- Accident insurance
Mitarbeiterrabatte
- Gym and sports event discounts
- Swibeco discounts and rewards
Team Events & Ausflüge
- Ski weekend
- Summer barbecue
- After-work gatherings
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Flyability erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei FlyabilityÜber das Unternehmen
FL
EngineeringPaudex
Flyability pioneers UAV indoor inspection with Elios, a collision-tolerant flying robot for remote entry into complex indoor spaces.
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