参考文献

• [1] https://github.com/Meituan-Dianping/asap.
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• [3] https://www.luge.ai/
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• [5] Liu, Bing. “Sentiment analysis and opinion mining.” Synthesis lectures on human language technologies 5.1 (2012): 1-167.
• [6] Peng, Haiyun, et al. “Knowing what, how and why: A near complete solution for aspect-based sentiment analysis.” In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 05. 2020.
• [7] Zhang, Chen, et al. “A Multi-task Learning Framework for Opinion Triplet Extraction.” In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings. 2020.
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• [11] 杨扬、佳昊等. 美团BERT的探索和实践.
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作者介绍

任磊、佳昊、张辰、杨扬、梦雪、马放、金刚、武威等，均来自美团平台搜索与NLP部NLP中心。

招聘信息

美团搜索与NLP部/NLP中心是负责美团人工智能技术研发的核心团队，使命是打造世界一流的自然语言处理核心技术和服务能力。

NLP中心长期招聘自然语言处理算法专家/机器学习算法专家，感兴趣的同学可以将简历发送至renlei04@meituan.com。具体要求如下。

岗位职责

1. 预训练语言模型前瞻探索，包括但不限于知识驱动预训练、任务型预训练、多模态模型预训练以及跨语言预训练等方向；
2. 负责百亿参数以上超大模型的训练与性能优化；
3. 模型精调前瞻技术探索，包括但不限于Prompt Tuning、Adapter Tuning以及各种Parameter-efficient的迁移学习等方向；
4. 模型inference/training压缩技术前瞻探索，包括但不限于量化、剪枝、张量分析、KD以及NAS等；
5. 完成预训练模型在搜索、推荐、广告等业务场景中的应用并实现业务目标；
6. 参与美团内部NLP平台建设和推广

岗位要求

1. 2年以上相关工作经验，参与过搜索、推荐、广告至少其一领域的算法开发工作，关注行业及学界进展；
2. 扎实的算法基础，熟悉自然语言处理、知识图谱和机器学习技术，对技术开发及应用有热情；
3. 熟悉Python/Java等编程语言，有一定的工程能力；
4. 熟悉Tensorflow、PyTorch等深度学习框架并有实际项目经验；
5. 熟悉RNN/CNN/Transformer/BERT/GPT等NLP模型并有过实际项目经验；
6. 目标感强，善于分析和发现问题，拆解简化，能够从日常工作中发现新的空间；
7. 条理性强且有推动力，能够梳理繁杂的工作并建立有效机制，推动上下游配合完成目标。

加分项

1. 熟悉模型训练各Optimizer基本原理，了解分布式训练基本方法与框架；
2. 对于最新训练加速方法有所了解，例如混合精度训练、低比特训练、分布式梯度压缩等