Machine Learning Engineer – 3D Gaussian Splatting & Neural Rendering

LIT8 develops advanced AI systems for photorealistic visual content generation. The Machine Learning Engineer will develop, train, and optimize 3D Gaussian Splatting and neural rendering methods to reconstruct high-fidelity 3D scenes from images, while improving reconstruction quality, efficiency, and rendering performance.

Responsibilities:

• Develop, train, and optimize 3D Gaussian Splatting models for photorealistic scene reconstruction
• Improve reconstruction fidelity, geometric consistency, surface detail, and rendering performance
• Explore neural rendering and physically based rendering techniques to improve materials, lighting, and visual realism
• Optimize training and inference pipelines for efficiency, scalability, and production use
• Collaborate with research and engineering teams to integrate 3DGS methods into production applications