Hunyuan Multimodal Algorithm Researcher Intern(Omni-Modal) 106650
Core
Research and development of Omni multimodal large models, including algorithm design, training data construction, and optimization for pre-training/SFT/RL.
Role type
Research intern (multimodal AI)
Builds
Foundational multimodal models and downstream application scenarios
Domain
Artificial Intelligence / Multimodal Large Models
Deliverable
research
Required skills
deep learning algorithms, large-scale multimodal data processing, model tuning, distributed training optimization, Diffusion Models, Autoregressive Models
Preferred skills
top-tier conference publications, cross-modal research experience, ACM/NOI competition participation, CPU/GPU acceleration expertise
Technologies
Diffusion Models, Autoregressive Models
Responsibilities
Design and construct training data for multimodal models; analyze R&D bottlenecks to accelerate model iteration; explore next-generation model architectures for Omni-modal understanding and generation.
Seniority
Intern
