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

<div class="content-intro"><p><img style="max-width: 100%;" src="https://3339696.fs1.hubspotusercontent-na1.net/hubfs/3339696/greenhouse_hero.jpg" alt="" width="900"></p></div><h3>OUR VISION</h3> <p>When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.</p> <p>That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better.&nbsp;</p> <p>&nbsp;</p> <h3>THE OPPORTUNITY</h3> <p class="font-claude-response-body break-words whitespace-normal">At NavVis, we build spatial intelligence technology that depends on high-quality 3D data. This is a machine learning engineering role focused on 3D geometric data. We're looking for an experienced engineer to develop and deploy machine learning models that operate on point clouds and 3D reconstructions, while raising the team's expertise in applying ML and DL to 3D data and broadening how the team uses it.</p> <p class="font-claude-response-body break-words whitespace-normal">You'll work closely with cross-functional teams, including AI researchers, software engineers, and product designers, to build and ship models for 3D point cloud processing, filtering, surface reconstruction, and computational geometry. Most of your time goes into moving these methods from research into production, not just exploring them.</p> <p class="font-claude-response-body break-words whitespace-normal">If you have practical experience and a strong theoretical grounding in cutting-edge machine learning and deep learning techniques, and want to apply them to 3D geometric data, you'll have the scope to shape how NavVis approaches 3D machine learning.</p> <p class="font-claude-response-body break-words whitespace-normal">&nbsp;</p> <h3>HOW YOU WILL MAKE AN IMPACT</h3> <ul> <li class="font-claude-response-body whitespace-normal break-words pl-2"><strong>Design and optimize</strong> machine learning and deep learning models for 3D point cloud data, covering filtering, denoising, registration, and surface reconstruction</li> <li class="font-claude-response-body whitespace-normal break-words pl-2"><strong>Own 3D data pipelines end-to-end</strong>, from preprocessing and augmentation to model adaptation and evaluation against gro