Lead Machine Learning Engineer - Geometric Spatial AI (F/M/D)
You'll be part of an open culture that values trust, collaboration, and transparency. We are proud of our environment where diverse talent can thrive and where feedback fosters individual growth and development. Do you share our passion for disruptive technology and want to be part of our dynamic journey? At NavVis, you'll own your projects, bring innovative ideas to life, and have real opportunities to grow your career and be recognized for your impact. We derive our strength from our diversity. NavVis' unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply. 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.
HOW YOU WILL MAKE AN IMPACT
- 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, for example point-based architectures such as PointNet++, 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
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.
- 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, for example 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
Would be an added benefit
- 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, for example 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
HOW WE WILL KEEP YOU SMILING
- It's important to take a break from work! 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
- We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
- We offer full visa and relocation support for international candidates
- An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
- A competitive compensation package that values the skills and experience you bring
- Up to 4000 EUR employee referral bonus
- Financial support for local language classes to help you in your journey of integrating into the culture!