[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 3DGS/4DGS papers to enhance visual fidelity, eliminate floating artifacts, minimize the number of gaussians, 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 la durée et les dates souhaitées pour votre stage ?

What is the desired duration and starting dates for your internship?

• 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)?

Work Location: In person

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