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Machine Learning System Engineer

Beijing or Shanghai or Shenzhen

关于Meshy

Meshy 是一家创立于硅谷的生成式 AI 公司,始终以「解放 3D 创造力」为使命,致力于推动 3D 内容创作方式的根本变革。我们正全力构建业界领先的 3D 基础大模型,能够生成高精度几何结构与逼真材质贴图,让专业设计师与创作爱好者都能通过简单的文字或图片,在几分钟内轻松打造出高质量 3D 资产。过去耗时费力的建模流程,如今正被重塑为高效、便捷的创意体验。
 
Meshy 汇聚了来自计算机图形学、人工智能与 3D 艺术领域的全球顶尖人才。团队成员毕业于 MIT、斯坦福、伯克利等世界一流高校,并曾任职于英伟达、微软等高科技企业。公司业务遍及全球,在多地设有分部,形成了多元包容的文化氛围与高效协同的全球协作机制。Meshy 的技术实力与创新潜力也赢得了资本市场的认可,已获得包括红杉资本、GGV 纪源资本在内的顶级机构 5200 万美元融资。
 
在行业影响力方面,Meshy 已确立全球领先地位。我们被 A16Z Games 2024 年度报告评选为最受欢迎的 3D AI 工具,并在 SimilarWeb 网站流量统计中位列第一,月访问量突破 300 万。目前,Meshy 已服务全球 500 万用户,累计生成 4000 万以上 3D 模型,成为越来越多创作者与开发者的信赖之选。
 
创始人兼 CEO 胡渊鸣(Ethan Yuanming Hu) 拥有 MIT 计算机图形学与人工智能博士学位。他主导开发了广受认可的 Taichi 编程语言,该项目在 GitHub 上收获超过 2.7 万星标,已被全球 300 多家机构采纳使用。


About Meshy

Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.

Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.

Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.

Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.


About the Role

We are looking for Machine Learning Systems Engineers who can help us build the world's largest end-to-end 3D native machine learning systems. You will help us build our end to end ML framework dedicated for 3D, from pretraining, to finetuning, inferencing, etc. We expect a combination of strong hands on engineering skills, eagerness to learn new things, and thrives in a fast-paced, high-ownership environment.

What You’ll Do:

  • Work within the AI model team to streamline 3D data into high-throughput pipelines and scale training infrastructure to hundreds of GPUs.
  • Train, accelerate, and deploy machine learning models for 3D GenAI.
  • Design and implement reliable and scalable distributed training pipelines, optimize end-to-end training efficiency.
  • Work closely with researchers, software engineers, and artists to integrate AI models into production.
On the training side
  • Work closely with researchers to build the training infrastructure for our in-house foundational models.
  • Identifying bottlenecks and optimizing for high throughput & efficient distributed model training across hundreds to thousands of GPUs.
  • Building and maintaining training clusters and job schedulers.
  • Implementing and maintaining 3D specific custom operators in Triton or CUDA
On the inference side
  • Building efficient inference endpoints with complex model pipelines
  • Optimizing models through compilation, fusion, quantization, etc.

What We're looking for:

  • Experience in machine learning or high performance graphics.
  • Solid practical understanding of at least one machine learning framework (e.g. PyTorch, Flax).
  • Strong ability to write beautiful and maintainable code in Python and/or C++.
  • Ability to learn fast and dive into new concepts or complex codebases.
  • Performance and efficiency oriented mindset, with a strong interest in the tiniest detail.
  • Strong communication skills for working in a globally distributed team.

Nice to have:

  • A strong passion to navigate through the PyTorch internals, with hands-on experience in areas like torch.compile , fully_shard (FSDP2) APIs.
  • Experience with building Triton kernels.
  • Experiences with large-scale distributed training, familiarity with modern parallelization techniques: DP, TP, CP, PP, zero redundancy optimizers, etc.
  • Experience with diffusion models in 3D or video.
  • Experience with full bf16 or partially fp8 training.

Our Values

  • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
  • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
  • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
  • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.

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