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
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 AreAt 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 challengeAs a core member of the team of research scientists and machine learning engineers at Meshy, you will drive the development of our core 3D-native generative foundational model. In this role, you will join our foundational research to advance 3D AI, apply learnings from other fields of ML, and pushing the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.
The essential functions include, but are not limited to the following:
Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning.
Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation.
Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.
Collaborate with infrastructure and systems teams to build scalable training, and data pipelines across GPU clusters and cloud environments.
Bring engineering discipline into an fast-paced research environment: elegant code, reproducible experiments, and building software as a team.
Share insights and breakthroughs through internal demos, open-source contributions, or technical reports that advance the field of 3D generative AI.
Strong engineering skills in Python and deep learning frameworks (preferably PyTorch); comfortable moving between research prototypes and production systems.
Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.).
Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds.
Familiar with computer graphics, including rendering, geometry processing is a plus.
Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s) is a plus.
Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences is a plus.
Base salary: $70/hour
Role: Collaborate with research engineers to drive progress in AI and graphics R&D
Requirements: First-author publications in top-tier conferences such as SIGGRAPH, ICLR, etc.
Base pay: $50/hour
Role: Collaborate with research engineers to drive progress in AI and graphics R&D
Requirements: Hands-on experience in multimodal AI or computer graphics, either through research or engineering work
We are based in Sunnyvale, California.
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.
