[Internship] Machine Learning & 3D Computer Vision Engineer – 3D Gaussian Splatting (3DGS)

**Context** **Metalograms** is bridging the gap between cinema and gaming. We use **3D \& 4D Gaussian Splatting (3DGS/4DGS)** to bring photorealistic volumetric video to Virtual Reality. Our next milestone is to launch the development of an XR video game showcasing the potential of this technology. We are looking for a **Machine Learning / Computer Vision student** passionate about cutting-edge 3D generative techniques to take ownership of our 3DGS/4DGS training, finetuning, and benchmarking pipeline. **Missions** As our Machine Learning \& 3D Computer Vision Intern, you will bridge the gap between raw data capture and real-time rendering by taking full ownership of our upstream 3DGS/4DGS pipeline: * **Pipeline Automation:** Design and automate the end-to-end data processing workflow, transforming raw multi-view video/image sequences from our cameras rig into finalized PyTorch-trained 4D Gaussian Splat assets via structure-from-motion (Colmap/SfM). * **SOTA Implementation:** Research, integrate, and test recent State-of-the-Art papers to enhance visual fidelity, eliminate floating artifacts, and improve the structural accuracy of dynamic 4D volumetric scenes. * **Model Optimization \& Benchmarking:** Profile training times and VRAM footprints. Implement compression, pruning, or quantization techniques to reduce file sizes, preparing the assets for mobile XR deployment constraints. **Requirements** * **Education:** M.S. or Master 2 student in Computer Science, Data Science, or Robotics, specializing in **Machine Learning, Deep Learning, or 3D Computer Vision**. * **Technical Core:** Strong proficiency with **PyTorch** and Python data science ecosystems. Solid foundational understanding of **3D Computer Vision** (camera matrices, stereo geometry, SfM/Colmap, NeRF, or Gaussian Splatting concepts). * **Bonus** : Experience writing or modifying custom **CUDA kernels** or Vulkan Compute Shader * **Profile:** High autonomy, self-learner, and deeply curious about the intersection of AI and real-time graphics. **Conditions** * Duration: 3 to 6 months. Starting Date: Automn * Agreement: internship agreement needed with school or Erasmus\+ agreement * Compensation: \~661€ (31\.50€ / day) \+ transport allowance * Location: **Bordeaux** Center (startup coworking space) Job Type: Internship Contract length: 6 months Pay: 661\.00€ per month Application Question(s): * Avez-vous des projets personnels ou académiques en Machine Learning / Computer Vision ? Pouvez-vous fournir un lien GitHub ou un portfolio ? Do you have any personal or academic projects in ML/CV? Can you provide a GitHub link or portfolio? * Quelle est votre expérience avec PyTorch ou la manipulation de données 3D (Colmap, nuages de points, NeRF/3DGS) ? What is your experience with PyTorch or manipulating 3D data (Colmap, point clouds, NeRF/3DGS)? * Quelle est la durée et les dates souhaitées pour votre stage ? What is the desired duration and starting dates for your internship? Work Location: In person