3D ML Engineer
About The Position
You will be working on an advanced R D project focused on 3D data processing, geometric analysis, and machine learning for spatial datasets obtained from photogrammetry (mainly DJI drones). The goal of the project is to develop a module capable of: importing and interpreting 3D data from industry-standard tools (point clouds or mesh), detecting and segmenting buildings from complete 3D models, simplifying geometry into a lightweight vector representation for further technical processing. Your work will span various phases of end-to-end delivery: understanding the business context, analyzing technical requirements, proposing algorithms, implementing 3D processing and ML components, and supporting integration with production systems. You will collaborate closely with developers responsible for 3D → 2D pipelines and technical drawing generation. This is an opportunity to contribute to a high-impact module that will be showcased to clients and industry partners.
Requirements
- Master of Science in computer science, mathematics, physics, engineering, or a related field.
- Strong experience with 3D data processing - point clouds, mesh models, spatial data formats (.las, .ply, .obj, .xyz, .e57).
- Practical knowledge of libraries such as Open3D, PCL, PDAL, CGAL, MeshLab or similar.
- Hands-on experience in segmenting point clouds
- Experience with machine learning / deep learning for 3D data, including models such as PointNet / PointNet++, KPConv, MinkowskiEngine, SparseConvNet, or CNN-based approaches on 2D projections.
- Ability to build and train ML models for geometry identification, segmentation, and classification.
- Experience with geometric algorithms: plane detection (RANSAC, Hough transform), edge detection, angle estimation.
- Understanding of mesh simplification techniques (e.g., Quadric Error Metrics).
- Experience working with photogrammetric outputs from tools like DJI Terra, Pix4D, RealityCapture, or Agisoft Metashape.
- Strong proficiency in Python (required); C++ is a plus.
- Familiarity with scientific and ML libraries: NumPy, SciPy, PyTorch/TensorFlow, scikit-learn, Open3D.
- Experience processing large-scale 3D datasets, optimizing pipelines for GPU/CPU performance.
- Ability to maintain high-quality, test-covered code, including unit, integration, and load tests.
- Experience using Linux, command line tools, Git, Docker.
- Strong analytical thinking and problem-solving skills.
- Ability to work in a team and document work clearly.
- Willingness to learn and develop skills continuously.
- Communicative English — minimum B2 level.
Nice To Haves
- Experience with DevOps / MLOps tools (Docker, Kubernetes, MLFlow, KubeFlow, DVC).
- Knowledge of deep learning frameworks: PyTorch or TensorFlow.
- Experience with additional data science libraries (OpenCV, scikit-image, plotly, seaborn, xgboost, lightgbm).
- Experience in computer vision or photogrammetry-heavy projects.
- Understanding of CAD / BIM standards and building geometry fundamentals
- Experience with 3D data visualization tools (Open3D viewer, MeshLab, Potree), or WebGL/Three.js.
- Skills in algorithmic optimization and performance tuning.
- Experience with cloud platforms (AWS, GCP, Azure).
Benefits
- Working with modern machine learning and 3D processing technologies.
- Annual self-development budget.
- Participation in a variety of innovative, challenging projects.
- Internal workshops and knowledge-sharing sessions.
- Personal branding opportunities (articles, conference speaking, leading workshops).
- Flexible working hours.
- Remote work possibility.
- Friendly atmosphere and supportive team environment.
- Chillout room / free beverages / team & company events (for on-site visits).
- MultiSport card.
- LuxMed healthcare package.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
