Generative AI Researcher Intern at MeshyAI in Sunnyvale, CA

Summary: 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. 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 Required Qualifications: - 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 Qualifications: - 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 Required Skills: Python, Deep learning frameworks, Transformer architecture, 3D generative models Important Skills: Multi-modal AI, Computer graphics Nice-to-Have Skills: High performance training, Open-source contributions, Technical communication, Team collaboration