Requirements:

• PhD in natural language processing, machine learning or equivalent experience;
• Solid background in statistical learning techniques for NLP (HMMs, CRFs, LDA, LSI, MRFs, etc.) and NLP tools (NLTK, GENSIM, etc.)
• Experience with deep learning frameworks (Tensorflow, CNTK, Mxnet, Keras, etc.) and applying these frameworks to NLP
• Experience in applying and implementing NLP algorithms, especially in the following areas: conversations and dialogues, text generation, information extraction, semantics analysis, question answering
• Strong programming skills in at least one object oriented programming language (Python, Java, Scala, C++, etc.)
• Experience in building and deploying large-scale applications related to natural language processing and machine learning
• Track-record of publications in NLP/ML conferences (ACL, NAACL, EMNLP, NIPS, etc.)