About the Position

Lead Machine Learning Engineer - Geometric Spatial AI (F/M/D)

Munich, Germany | Hybrid (NavVis GmbH)

Our Vision

At NavVis, we bridge the gap between the physical and digital worlds, empowering people to create a smarter, more productive, and more streamlined reality. Our technology enables the mapping and enhancement of the world as it is, paving the way to a better future. We offer tools that not only map the world but also forge a new reality where physical and digital coexist seamlessly.

The Opportunity

We are seeking an experienced Lead Machine Learning Engineer specializing in 3D geometric data. This role focuses on developing and deploying machine learning models for 3D point clouds and reconstructions. You will work closely with cross-functional teams to move these methods from research into production, enhancing our team's expertise in applying ML and DL to 3D data.

Responsibilities

Design and optimize machine learning and deep learning models for 3D point cloud data, covering filtering, denoising, registration, and surface reconstruction.
Own 3D data pipelines end-to-end, from preprocessing and augmentation to model adaptation and evaluation against ground-truth geometry.
Integrate 3D ML solutions into existing workflows and products by collaborating with other teams.
Adapt state-of-the-art 3D deep learning methods for production use, such as point-based architectures, sparse voxel or convolutional networks, graph neural networks, and implicit or neural representations.
Build scalable, reproducible training pipelines for large 3D datasets.
Improve model performance by analyzing results against geometric and perceptual quality metrics.

Requirements

MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience.
5-7+ years of hands-on experience applying machine learning and deep learning to point cloud processing, filtering, registration, or surface reconstruction, with a strong theoretical grounding in the underlying methods.
Familiarity with point cloud-specific deep learning architectures, such as PointNet++, sparse convolutional networks, graph neural networks, or transformer- and diffusion-based 3D models.
Strong Python skills for writing efficient, maintainable code, and hands-on experience with libraries such as PyTorch, TensorFlow, and Scikit-learn.
Solid foundation in the mathematics of geometry, linear algebra, and optimization.
Fluent English communication skills, needed to collaborate with AI researchers, software engineers, and product designers.

Nice to Have

Experience with computer graphics and GPU programming (CUDA, ROCm, or OpenCL).
Experience with neural 3D representations such as NeRF, Gaussian splatting, or signed distance functions.
Familiarity with ML experimentation and orchestration tooling, such as MLflow, Ray, Databricks, Slurm, or Weights and Biases.
Published research papers or open-sourced projects in a relevant ML/DL field.
Experience with C++ and 3D libraries such as Open3D, PyTorch3D, PCL, or CGAL.
Experience with Linux.

We Offer

30 days of paid time off per year.
Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy.
Deutschlandticket subsidy to support sustainable travel using public transport.
Flexible working hours and a hybrid work setup.
Full visa and relocation support for international candidates.
An attractive bike leasing model through JobRad.
A competitive compensation package.
Up to 4000 EUR employee referral bonus.
Financial support for local language classes.

About Us

NavVis is a global leader in reality capture and digital factory solutions. We help organizations make smarter decisions and build more efficient, connected operations by bridging the physical and digital worlds. With over 300 people from around 60 nationalities and offices around the globe, we pride ourselves on being a truly international and diverse place to work.

We value trust, collaboration, and transparency, and we are proud of our environment where diverse talent can thrive. Our commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion, and disability.

Together with you, we build NavVis!

If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.

Apply for this job

Apply now

Lead Machine Learning Engineer - Geometric Spatial AI (F/M/D)

Job description