1.Conduct research on reinforcement learning algorithms for multimodal models, including diffusion models for image and video generation, autoregressive models for multimodal understanding, and cutting-edge unified multimodal frameworks.
2.Design and develop reinforcement learning training frameworks and reward modeling strategies to enable efficient large-scale training, improve training stability, and address issues such as reward hacking.
3.Explore next-generation reinforcement learning paradigms that enable more direct and efficient learning from environmental feedback.
Who We Look For1.Bachelor’s degree or above in Computer Science or related fields.
2.Excellent research capabilities with publications in top conferences including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc.
3.Strong engineering and programming skills, with experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference.
4.Preference given to candidates with experience in diffusion models, autoregressive models, text-to-image / text-to-video generation.
5.Preference given to candidates with participation experience in ACM/NOIP (Informatics Olympiad).
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
