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We’re looking for exceptional research interns who are passionate about AI, graphics, and building world-class products together with us. 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.
Job Responsibility:
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
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
Requirements:
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
A vision for AI beyond linear sequences
Belief in 'the scaling law'
Ability to translate high-level goals into concrete research and implementation steps