Generative AI - 3D Foundation Model at MeshyAI
Interview Preparation Plan
MeshyAI is seeking a talented and driven researcher for a Generative AI - 3D Foundation Model role. This position involves developing core 3D-native generative foundational models, pushing the boundaries of 3D AI, and applying learnings from various machine learning fields. The ideal candidate will have a deep understanding of transformer architectures and a strong belief in 'the scaling law,' with the ability to translate high-level research goals into concrete implementation steps. The role requires a hands-on approach in a fast-paced environment, emphasizing self-direction, teamwork, and efficient execution. You will be responsible for designing, training, and refining large-scale 3D generative models, potentially working with paradigms like diffusion, flow matching, and multi-modal learning. A key aspect of this role is bridging the gap between cutting-edge research and practical product deployment, ensuring that models are integrated into real-world applications used by millions of creators.
Key Responsibilities
- Design, train, and refine large-scale 3D generative models (pre-training, post-training, diffusion, flow matching, multi-modal learning).
- Bridge the gap between research and product, deploying models into real-world applications.
- Create novel model architectures for faster, higher-quality, and more controllable 3D generation.
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