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

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> Responsibilities: - Evaluate and integrate ML/computer-visio

- **Company:** NavVis (https://jobs.trythestack.co/companies/navvis)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** 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
- **Posted by employer:** 2026-07-31
- **Added to The Stack:** 2026-08-01
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.eu.greenhouse.io/navvis/jobs/4835176101 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-semantic-spatial-ai-fmd-navvis

## 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.

## FAQ

- **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.

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