Hunyuan Multimodal Algorithm Researcher (Omni-Modal)
Core
Research and development of Omni multimodal large models, including training data design, foundational algorithm design, and optimization of pre-training/SFT/RL.
Role type
Multimodal Algorithm Researcher
Builds
Omni multimodal large models for understanding and generation
Domain
Artificial Intelligence, Deep Learning, Multimodal AI
Deliverable
research
Required skills
deep learning algorithms, large model development, multimodal data processing, model evaluation, distributed training optimization
Preferred skills
Diffusion Models, Autoregressive Models, cross-modal research, CPU/GPU acceleration, model tuning
Technologies
Python, PyTorch, TensorFlow
Responsibilities
design and construct training data, optimize pre-training/SFT/RL, evaluate model capabilities, explore next-generation model architectures, analyze R&D challenges
Seniority
Mid-to-Senior, hands-on research