MeshyAI · 2 days ago
Generative AI - 3D Foundation Model
Meshy is a leading company in 3D generative AI, empowering creators to bring immersive worlds to life. The role involves driving the development of core 3D-native generative foundational models and bridging the gap between cutting-edge research and product deployment.
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 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
Qualification
Required
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 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