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Open nowPosted 200 days ago

【Bambu Fellow Program】3D Foundation Model Campus

bambulab/campus169 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now【Bambu Fellow Program】3D Foundation Model Campusbambulab/campus · Beijing, Chinese Mainland

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  6. 52.7%60 days
This job: posted 200 days ago

The posting

About Bambu Fellow Program： We are seeking the world’s most brilliant young researchers. Here, you will do more than just train models—you will leverage foundation models to redefine the boundaries of human creativity, bridging the gap between the virtual digital world and the physical reality.

我们正在寻找全球最顶尖的青年研究员。在这里，你不只是在训练模型，你是在用基础模型重构人类创造力的边界，打通虚拟和现实的边界。

【Our Mission: Exploring the Frontier from Algorithms to Matter】 1. Architecting the Foundation of 3D Worlds: Develop state-of-the-art algorithms in 3D generation, implicit representations, and dynamic logic synthesis. You will tackle core challenges in high-fidelity geometric details, topological robustness, printability, and large-scale scene reconstruction. 2. Bridging the Virtual and the Physical: Integrate your research directly into our core products. You will solve the "algorithm-to-manufacturing" disconnect, ensuring that every AI-generated pixel translates into precise, tangible expression on our 3D printers. 3. Establishing Academic Influence: We encourage and fully support you in targeting top-tier conferences (CVPR, SIGGRAPH, NeurIPS, etc.). Our goal is for your algorithms not only to define industry standards but to become the technical benchmarks for the open-source community.

【我们的使命：从算法到物质的边界探索】

1. 重构3D世界的基石： 研发 3D 生成、隐式表示、动态逻辑生成等最前沿算法，挑战高保真几何细节、拓扑鲁棒性、 可打印性（Printability） 与大规模场景重建等核心难题。 2. 连接虚拟与现实： 将你的研究成果直接嵌入核心产品，解决“算法生成-物理打印”的鸿沟，让 AI 的每一个像素都能在打印机中实现精准表达。 3. 沉淀学术影响力： 我们鼓励并将全力支持你挑战 CVPR, SIGGRAPH, NeurIPS 等顶会，让你的算法不仅定义行业标准，更成为开源社区的技术航标。

【Who We Are Looking For】 1. Academic Stars: You possess a deep mathematical and AI background, with a track record of innovative, first-authored papers at top-tier vision or graphics conferences. You don't just use tools; you master the underlying principles. 2. Engineering Zealots: Proficient in PyTorch/C++ with a refined sense of engineering aesthetics. You have deep practical experience in 3D geometry processing (e.g., Mesh/SDF/Point Cloud) and excel at transforming complex mathematical hypotheses into robust, scalable systems. 3. Printing Enthusiasts: You possess refined technical taste and a profound understanding of the dialectical relationship between "generative quality" and "physical constraints." You are driven by the pursuit of tangible value that can be touched and manufactured, rather than mere theoretical fitting.

【我们寻找这样的伙伴】

1. 学术之星： 具备深厚的数理与 AI 背景，以第一作者身份在顶级会议/期刊发表过具有创新性的 3D 视觉或图形学论文，不仅会用工具，更理解模型背后的本质； 2. 工程狂热分子： 精通 PyTorch/C++，拥有优秀的工程审美。你对 3D 几何处理（如 Mesh/SDF/Point Cloud）有深度实践，习惯通过代码将复杂的数学假设落地为鲁棒的系统； 3. 打印爱好者： 具备技术品味，深刻理解“生成质量”与“物理约束”的辩证关系。不追求虚无缥缈的拟合效果，而是能触碰、能制造的真实价值；

【What You Will Gain】 1. Unparalleled Compute and Data: We provide massive computational resources and access to our global, industry-leading 3D printing data loop, ensuring your research is grounded in real-world application. 2. Mentorship-Driven Research: Collaborate deeply with industry-leading experts to sharpen your "research taste" in real-world industrial scenarios—we value impactful problem-solving far beyond being a mere "paper-writer." 3. The Freedom to Define the Industry: Here, we shun bureaucratic boundaries. If you have a more elegant geometric expression scheme or a bolder approach, we are ready to provide the platform to bring your ideas to life.

【加入我们，你将获得】

1. 极致的算力与数据： 我们提供丰厚的实习的算力支持，以及全球领先的 3D 打印场景数据闭环，让你的科研成果有据可依； 2. 导师制科研模式： 与行业顶尖技术专家深度共研，在工业实战中打磨你的“科研品味”，而非简单的 Paper-writer； 3. 定义行业的自由： 在这里，没有边界感和流程束缚。如果你有更优雅的几何表达方案，我们随时准备为你提供实验平台。

1. 计算机、人工智能、数学等相关专业本科及以上学历； 2. 具备扎实的数理功底和算法能力；具备优秀的工程能力和编码功底，能快速复现和实现新算法。 3. 具备极强的自驱力、责任心和好奇心；具备良好的沟通能力和团队协作精神，乐于分享和共同成长。 4. 加分项： - 在AIGC或3D视觉领域有顶级会议/期刊论文（如CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS） - 熟练掌握PyTorch/TensorFlow - 深入理解DiT、VAE等神经网络结构的原理，有3D或2D（图像/视频）生成项目的扎实经验。 - 熟悉MVS、SDF、NeRF、GS等方法，对射影几何、点云处理、Mesh处理等熟练掌握，有3D重建相关项目经验

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