Level

Meshy

AI 3D Dataset Engineer

Meshy is hiring an AI 3D Dataset Engineer for a remote role open to applicants in China. Level rates it ; you can apply on Meshy.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Databricks among its tools and skills.
  • Meshy has 20 other open roles on Level.

AI in this role

databricks

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 6 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

What You’ll Do:

  • Responsible for the development and daily maintenance of end-to-end 3D data governance and enhancement pipelines, ensuring the efficient flow of 3D data through geometric analysis, quality assessment, and data synthesis.

  • Develop internal data cleaning, annotation, and visualization tools using Python and C++; maintain the 3D asset quality monitoring engine and continuously optimize the automation of data infrastructure.

  • Manage data pipelines, actively participate in the integration and scheduling of data cleaning solutions, review external delivery progress, and ensure high-quality data is delivered to the algorithm team on time.

  • Participate in the setup of CI/CD processes and be responsible for documenting high-quality technical documentation (RFCs/Specs).

What We're looking for:

  • Must have a background in computer graphics or relevant project experience, and be familiar with mesh data structures (GLB/OBJ/USD/FBX); understand the fundamentals of geometric processing (e.g., manifold detection, UV unwrapping, topology, normal vector calculation, etc.)

  • Possess strong Python development skills and be proficient in using graphics and data processing libraries

  • Familiarity with common data structures and algorithms, with the ability to handle large-scale datasets containing tens of millions of data points

  • Strong documentation skills (RFCs/Technical Specs), with the ability to clearly and systematically document development logic and operational workflows

Nice to have:

  • Proficient in C++ and CUDA programming, with the ability to contribute to the development and optimization of high-performance data indexing or search engines (such as KNN Graph).

  • In-depth experience with generative AI 3D products and a thorough understanding of their underlying principles

  • Experience using big data platforms such as Databricks, or familiarity with common vector databases and vector indexing algorithms

  • Experience coordinating with external annotation teams or managing outsourced projects, with strong project scheduling and communication skills

  • Enthusiast of 3D printing and laser engraving, or experience in independent game development

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.

Why Join Meshy?

  • Competitive salary, equity, and benefits package.

  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.

  • Flexible work environment, with options for remote and on-site work.

  • Opportunities for fast professional growth and development.

  • An inclusive culture that values creativity, innovation, and collaboration.

  • Unlimited, flexible time off.

How we rate this

AI 3D Dataset Engineer at Meshy rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Databricks

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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