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1. Drive and contribute to cutting-edge research projects in NLP/ML.
2. Develop benchmarks and baselines using publicly available datasets.
3. Train large language models (LLMs) on innovative, practical tasks.
4. Publish research findings at leading NLP/ML/AI conferences and in top journals.
1. Currently in the PhD degree in NLP, Machine Learning, or a related area, or recently submitted the thesis; available at least three days per week (with the supervisor and university approval). Candidates who have completed a Master's degree and have received a PhD offer in a relevant field will also be considered.
2. At least one publication in a top-tier NLP/ML conference or journal (e.g., ACL, NAACL, EMNLP, EACL, NeurIPS, ICLR, ICML).
3. Hands-on experience with Python and deep learning libraries, especially PyTorch, Hugging Face, and Transformers.
4. Experience in one or more of the following areas: supervised fine-tuning of LLMs, LLM self-learning, LLM efficiency, LLM-based AI agents, or LLM applications in gaming, reasoning, or mathematical tasks.
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.
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