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

✨ The Stack take on this NavVis job

• 🏢 NavVis has 20 jobs here, 18 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask NavVis if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

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.

Responsibilities

You will evaluate and integrate AI/ML models for spatial data, focusing on point clouds and images to enhance semantic scene understanding. Additionally, you will own the practical implementation of these systems in production, ensuring performance optimization and rigorous evidence-based evaluation.

Requirements

Candidates should hold a Master's or PhD in a relevant field and possess several years of experience applying machine learning to real-world problems. Strong proficiency in Python and deep-learning frameworks, along with a solid foundation in geometry and spatial data, is essential.

Key skills

• Machine learning — in 291 other listings on The Stack
• Computer vision — in 30 other listings on The Stack
• Python — in 1200 other listings on The Stack
• PyTorch — in 92 other listings on The Stack
• TensorFlow — in 55 other listings on The Stack
• Point clouds — in 2 other listings on The Stack
• 3D modeling — not in any other listing on The Stack
• Data preprocessing — in 3 other listings on The Stack
• Semantic segmentation
• Linear algebra
• Geometry
• C++
• Deep learning
• System optimization
• Spatial data

On The Stack (as of 2026-11-05)

• NavVis has 19 other listings on The Stack, 17 of them marked as offering visa sponsorship.
• 166 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
• 29 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about NavVis

Is this Senior Machine Learning Engineer - Semantic Spatial AI (F/M/D) role still open?

It was posted on 2026-07-31. Listings more than 30 days old may no longer be active, so check NavVis's site before applying.

Does NavVis offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on NavVis's site.

Where is this role located?

The listing gives the location as Germany. It is marked on-site.

What skills does this role ask for?

The listing names: Machine learning, Computer vision, Python, PyTorch, TensorFlow, Point clouds, 3D modeling, Data preprocessing, Semantic segmentation, Linear algebra, Geometry, C++, Deep learning, System optimization, Spatial data.