PaperWeekly 致力于推荐最棒的工作机会，精准地为其找到最佳求职者，做连接优质企业和优质人才的桥梁。
如果你需要我们来帮助你推广实习机会或全职岗位，请添加微信号「pwbot02」。
新加坡研发中心隶属于达摩院机器智能技术实验室。机器智能技术实验室当前拥有数百名研究员和工程师，致力于研发颠覆性的 AI 技术以解决社会问题。当前涉及到多个研究方向，如 speech processing, language processing, image/video analytics, and optimization & decision making。
新加坡研发中心是一个国际化的团队，进行 speech 和 language 处理领域的若干重要方向的研发。为服务于阿里巴巴国际化战略，该中心尤其重视 multilingual speech and language processing technology 的研发。当前正在开展的方向包括 speech recognition and synthesis of multiple languages, NLP technology and machine translation systems for Southeast Asian languages, speech-to-speech translation, and knowledge-enhanced NLP techniques。
工作地点：新加坡
自然语言处理算法专家
岗位职责
1. Take the key role of developing knowledge-empowered NLP techniques, including but not limited to: knowledge acquisition and representation, applying knowledge into different NLP tasks, etc.
2. Conduct research on how to utilize the real word knowledge (such as Knowledge Graph, Ontology, Domain Knowledge, and Commonsense Knowledge) to understand natural languages, and how to generate natural text that does not contradict with the real word knowledge.
3. Conduct research in the area of natural language inference with knowledge-empowered approaches, such as recognizing textual entailment, emotion cause identification, stance classifications, etc.
4. Explore the next generation of natural languages understanding technology. Explore how to integrate the symbolic knowledge/logic with the neural network models.
岗位要求
1. PhD degree from related areas, and 3+ years relevant working experience is preferred.
2. Experience in research and developments of related NLP topics, such as information extraction, knowledge base, natural language understanding, natural language inference, reading comprehension, text generation/summarization, etc.
3. Strong publication records in top tier related conferences, such as ACL, EMNLP, NAACL, SIGIR, KDD, WWW, NIPS, AAAI, IJCAI, etc.
4. Good programming skills in Python/C++/Java, and one shell script. Familiar with deep learning models and major deep learning programming frameworks.
5. Self-driven, innovative, collaborative, good communication and presentation skills.
机器翻译应用算法专家
岗位职责
1. Take the key role of developing Machine Translation techniques for low-resource languages, such as Indonesian, Thai, Vietnamese, etc.
2. Develop Machine Translation modules to support specific business scenarios and products for Alibaba globalization strategy. Adapt and develop the current Machine Translation techniques to achieve good translation performance between low resource languages and English/Chinese, and vice versa.
3. Conduct research and develop algorithms for low resource language translation with monolingual corpora. Plan and prepare parallel corpora between English/Chinese and low resource languages.
岗位要求
1. Master or PhD degree from related areas, and 3+ years working experience in NLP, Deep Learning, etc. Theoretical foundations or industry experiences in Machine Translation/Text Generation/Summarization will be a plus.
2. Strong programming skills in Python/C++/Java, and one shell script. Familiar with deep learning models and major deep learning programming frameworks.
3. Publication records in related conferences, such as ACL, EMNLP, NAACL, SIGIR, KDD, WWW, NIPS, AAAI, IJCAI, etc.
4. Working experience for Southeast Asian languages is a plus, and speakers of these languages are preferred.
5. Self-driven, innovative, collaborative, good communication and presentation skills.
联系方式
• 简历投递邮箱：[email protected]
• 听说在邮件标题中注明“PaperWeekly”，能大大提升面试邀约率
关于PaperWeekly
PaperWeekly 是一个推荐、解读、讨论、报道人工智能前沿论文成果的学术平台。如果你研究或从事 AI 领域，欢迎在公众号后台点击「交流群」，小助手将把你带入 PaperWeekly 的交流群里。
▽ 点击 | 阅读原文 | 加入社区刷论文