Research Intern in Hunyuan Multimodal Reinforcement Learning (RL) at Tencent in Singapore. Responsibilities include conducting RL research for multimodal models (diffusion models for image/video/3D generation, autoregressive models for multimodal understanding), designing RL infrastructure and reward modeling for efficient large-scale training, and exploring next-generation RL paradigms that learn from environment feedback. Candidates are currently enrolled as PhD students in Computer Science or related fields, with strong publications and hands-on DL system experience in model training, inference optimization, and distributed training.
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