MeshyAI ยท 2 hours ago
Generative AI - 3D Foundation Model
MeshyAI is a leading company in 3D generative AI, dedicated to unleashing creativity in 3D content creation. The role involves driving the development of core 3D-native generative foundational models, applying learnings from various fields of machine learning, and pushing the state of the art in 3D AI.
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
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
Strong engineering skills in Python and deep learning frameworks (preferably PyTorch)
Familiarity with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.)
Curiosity and passion for multi-modal AI
Intuitive understanding of how models perceive, represent, and generate 3D worlds
Ability to communicate information and ideas so others will understand
Ability to observe details at close range
Ability to work under deadlines
Preferred
Familiarity 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