机器学习工程师 - 自然语言处理（远程职位）
ML Engineer - NLP (Remote Position)
如果你精通自然语言处理，你可能是将帮助 Entefy 重新定义人类沟通方式的高能机器学习工程师。
我们正在寻找一位才华横溢且有驱动力的 NLP 专家，加入 Entefy 核心使命的高影响力团队。你将利用深度学习和其他方法，参与机密项目，这些项目将影响 Entefy 的产品组合。这是一项极具挑战性的工作，将充分调动你对算法的深入理解，以构建前所未有的机器智能。
要求：
- 扎实的数学、统计学和机器学习理论基础
- 至少 3 年在自然语言处理、理解或生成领域的商业经验（或同等经验）
- 至少掌握一种编程语言，如 Python、C、C++、Java 等
- 熟悉文本分析、知识库构建、机器翻译或对话系统
- 熟练使用自然语言处理工具，如 NLTK、CoreNLP、Gensim、spaCy、OpenNLP、UIMA、GATE 等
- 熟练使用机器学习工具，如 TensorFlow、Keras、Caffe、Theano、MLLib、Torch 等
- 英语流利
- 优秀的书面和口头沟通能力
其他加分项：
- 具备现代 NLP 深度学习技术经验，包括序列到序列模型、分布式表示、指针网络、注意力模型等
- 计算机科学、机器学习、数学、统计学、物理或计算语言学的硕士及以上学位
- 具备基于文本的信息检索技术经验，如 Lucene、Solr、Elasticsearch 等
- 具备大数据和分布式计算技术经验，如 Hadoop、MapReduce、Spark、Storm 等
- 多语言流利者优先
- 具备多种适用编程语言的熟练技能者优先
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最初发布于 喜马拉雅山
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If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication.
We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence.
Requirements:
- Solid fundamentals in mathematics, statistics, and machine learning theory
- Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation
- Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc.
- Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems
- Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc.
- Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
- English fluency
- Excellent written and verbal communication skills
Other qualifications:
- Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc.
- Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
- Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc.
- Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc.
- Fluency in multiple languages is a plus
- Demonstrable proficiency in more than one applicable programming languages is a plus
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Originally posted on Himalayas