混元多模态算法研究员（Omni模态）（北京/上海/北美）
Core
Research and development of Omni multimodal large models, focusing on training data design, algorithm design, optimization for pre-training/SFT/RL, evaluation, and downstream application exploration.
Role type
Senior IC multimodal AI researcher
Builds
Next-generation multimodal model architectures and capabilities
Domain
Artificial Intelligence / Multimodal Large Models
Deliverable
production ML models
Required skills
Deep learning algorithms, Large model R&D, Diffusion Models, Autoregressive Models, Cross-modal research (audio/video), Deep learning network operators, Distributed training/inference optimization
Preferred skills
ACM/NOIP competition experience, High-quality data generation, Top-tier paper publications
Technologies
Diffusion Models, Autoregressive Models, CPU/GPU acceleration, Distributed training
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