Graphics & Spatial Research Engineer

Job Responsibilities 1. Research cutting-edge algorithms in spatial content reconstruction and generation, identify emerging technology trends, sort out core underlying technologies, and propose innovative solutions for breakthrough results. 2. Focus on media business, design advanced models for commercial deployment, and build industry-leading technical competitiveness. 3. Research AIGC large models (including Diffusion, MLLM perception & generation architectures), leverage their strengths to optimize performance limits and deliver commercial value in products like end devices and cloud services. 4. Undertake industry standards, patents, papers and open-source projects to enhance industry influence. Professional knowledge 1. Solid math and physics foundation; AI-related majors preferred. 2. Prior research experience in 3D reconstruction, spatial computing or related fields preferred. 3. First-author papers in top conferences/journals highly preferred. 4. Practical experience in relevant open-source projects preferred. Requirements 1. PhD or Master Degree in Computer Science Engineering, related Machine Learning field, or equivalent relevant experience; 2. Proficient in python or C++, deep understanding in common algorithms and data structures. 3. Strong publication record ( top conferences or journals in the related fields demonstrating innovative research. 4. Fulfill at least one of the requirements below: - Solid understanding in AI for Algorithm engineering. - Experienced in deep learning and machine learning. Familiar with at least one framework (e.g. pytorch/tensorflow).