Machine Learning Engineer for 3D Geometric Data

NavVis • Germany

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AI Summary

Design and optimize machine learning models for 3D point cloud data, integrate 3D ML solutions into existing workflows, and adapt state-of-the-art 3D deep learning methods for production use.

Key Highlights

Design and optimize machine learning models for 3D point cloud data

Integrate 3D ML solutions into existing workflows

Adapt state-of-the-art 3D deep learning methods for production use

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Key Responsibilities

Design and optimize machine learning and deep learning models for 3D point cloud data

Own 3D data pipelines end-to-end

Integrate 3D ML solutions into existing workflows and products

Technical Skills Required

Python PyTorch TensorFlow

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Benefits & Perks

30 days of paid time off per year

Affordable access to a vast network of fitness and wellness facilities

Deutschlandticket subsidy

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Nice to Have

Experience with computer graphics and GPU programming

Experience with neural 3D representations such as NeRF, Gaussian splatting, or signed distance functions

Job Description

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.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.

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