Generative AI Researcher Intern
At a glance
Junior AI Research role at Meshy LLC. Shanghai · internship.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and refine 3D generative models, spanning pre-training, post-training, autoregressive methods and discrete diffusion
- Prepare mesh data and develop tokenizers so generative models can use the meshes
- Improve training efficiency by addressing model architecture, memory use and CPU or GPU pipeline delays
- Develop texture and material models that create detailed textures with consistent geometry and complete PBR outputs
What you bring
- You understand transformer architecture deeply and can program in Python and tensor frameworks
- You can turn broad research aims into a concrete plan, implement it and explain technical ideas clearly
- You are an undergraduate, master's or PhD student who can commit full time for at least twelve weeks
- You plan to join Meshy full time after graduation
Who this fits
This internship suits a hands-on researcher interested in AI, graphics and 3D generation who works independently and collaborates with a team. It is full time for at least twelve weeks, and you should intend to join Meshy after graduation. You can work from an office in Beijing, Shanghai or Shenzhen.
From the employer
Meshy Research Internship Program
We’re looking for exceptional research interns who are passionate about AI, graphics, and building world-class products together with us.
What we’re looking for:
Able to commit to a full-time internship for 12 weeks or longer
Intend to join Meshy full-time after graduation (ideally graduating from 9/2026-9/2027, but later is also acceptable)
Open to undergraduate, master's, or PhD students
Strong in technical fundamentals, with a spirit of innovation and willingness to challenge yourself
Who You Are
You are a talented, hands-on researcher who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done efficiently.
You have deep understanding of the transformer architecture, have strong python and tensor programming skills, have a vision for AI beyond linear sequences, and you believe in "the scaling law".
You can translate high-level goals into concrete research and implementation steps, set an approach, and follow through. When it's time to explain your ideas, you bring clarity to complex technical issues.
You are not afraid of confronting new ideas, and you are eager to share your knowledge with the team. You use these skills to create real-world benefits for our researchers, engineers, and millions of users, and you are excited to help advance our effort to push the state of the art of AI that understands and generates 3D worlds.
Who We Are
At Meshy, we believe 3D creation should be boundless and accessible. Our mission statement is simple: unleash creativity. We built a full pipeline for 3D content ranging from text / image to 3D, texturing, texture editing, animation rigging, etc. We also built a vibrant community for our creators, where people can share their work, take inspiration from others, and even use it as an asset marketplace for their games and prototypes. We are the market leader in 3D generative AI, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games survey), and we generate real value and is used by enterprises (including Meta, Square Enix, Deepmind, etc.) and millions of end users. Meshy is used in game and film production, in 3D printing, in industrial product design, in enablement of novel product features such as user-generated content, and even in training and simulation for robotics and physical AI.
Your Next Challenge
As a core member of the team of research scientists and machine learning engineers at Meshy, you will work towards Meshy's long-term ambitious research goals while identifying intermediate milestones.
If you are interested in our research on Artist-level Low-poly mesh generation models, you will join us to:
Design, train and finetune 3D generative models from covering pre-training, post-training, and emerging paradigms in autoregressive and discrete diffusion.
Analyze, discretize and process meshes and design tokenizers for generative models to ingest.
Accelerate model training from an architectural view. Maximize memory usage and elliminate pipeline bubbles in both CPU and GPU.
If your obsession lies in creating superior visual appearances, join our Texture & Material Research efforts to:
Redefine 3D texture generation. Advance the state-of-the-art in Diffusion and Auto-regressive models to produce crisp, high-resolution textures with robust geometric consistency.
Deliver "Game-Ready" assets. Focus on generating full PBR stacks that react realistically to lighting, bridging the gap between generative AI and professional production pipelines.
📍 Location
We are based in Beijing, Shanghai, and Shenzhen - you’re welcome to join us in any of these offices.