Senior Machine Learning Engineer - Semantic Spatial AI (F/M/D) at NavVis

on-site · full-time · Visa sponsorship

Apply for this role at NavVis

Responsibilities:
- Evaluate and integrate ML/computer-vision models for spatial data (point clouds, images) and select approaches that work at scale.
- Configure, train, and adapt models for tasks like semantic segmentation, object detection, and derived artifacts (e.g., floor plans).
- Optimize systems for speed, memory, robustness, and cost across petabyte-scale datasets and high-fidelity inputs.
- Implement production-ready pipelines: data ingestion, cleaning/fusion, model deployment, and streaming-friendly data structures.
- Collaborate with the IVION Data Foundation team and engineers to deliver measurable customer value and maintain system reliability.

Requirements:
- Advanced degree (MS/PhD) in CS, ML, computer vision, or equivalent practical experience preferred.
- Strong Python skills and deep-learning framework experience (PyTorch and/or TensorFlow); C++ is a plus.
- Hands-on experience with point clouds, 3D data, geometry, and linear algebra applied to real-world datasets.
- Track record of moving ML research into robust, production systems that balance quality, speed, and cost.
- Comfortable developing on Linux/macOS, working in hybrid teams, and using agentic coding tools to accelerate delivery.