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 seeking a Machine Learning Engineer specializing in recommendation systems to design, implement, and optimize ranking algorithms that power personalized user experiences. In this role, you will analyze large-scale user behavior data, experiment with cutting-edge ML techniques, and drive improvements in engagement and recommendation quality.
What You’ll Do
- Design, implement, and optimize recommendation and ranking algorithms.
- Analyze user behavior data to improve personalization and engagement.
- Evaluate and experiment with new ML methods to enhance recommendation quality.
What We're Looking For
- 3+ years of professional experience in machine learning or recommendation systems.
- Strong coding skills in one or more languages: Python, Java, or Scala.
- Solid understanding of machine learning fundamentals, especially in ranking, collaborative filtering, and personalization.
- Hands-on experience with data processing frameworks (e.g., Spark, Flink) and ML libraries.
- Strong problem-solving and communication skills.
Nice To Have
- Experience in A/B testing and online experimentation.
- Familiarity with graph-based or deep learning approaches for recommendation.
- Ability to leverage AI coding tools to boost productivity.
- Experience with large-scale distributed systems and real-time serving.
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.
