MeshyAI · 7 hours ago
Generative AI Researcher Intern
MeshyAI is a leading 3D generative AI company on a mission to unleash creativity by transforming the content creation pipeline. They are seeking a research intern to drive the development of core 3D-native generative models and advance the state of the art in AI that understands and generates 3D worlds.
Computer Software
Responsibilities
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 a 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
Qualification
Required
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
Deep understanding of the transformer architecture
Strong python and tensor programming skills
Vision for AI beyond linear sequences
Belief in 'the scaling law'
Ability to translate high-level goals into concrete research and implementation steps
Ability to set an approach and follow through
Ability to explain ideas clearly and bring clarity to complex technical issues
Eagerness to confront new ideas and share knowledge with the team
Ability to create real-world benefits for researchers, engineers, and millions of users
Excitement to help advance efforts to push the state of the art of AI that understands and generates 3D worlds
Strong engineering skills in Python and deep learning frameworks (preferably PyTorch)
Comfortable moving between research prototypes and production systems
Curiosity and passion for multi-modal AI
Intuitive understanding of how models perceive, represent, and generate 3D worlds
Preferred
Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.)
Familiar with computer graphics, including rendering, geometry processing
Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s)
Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences