Natural Language Processing Engineer mentored by world expert in NLP – Machine Learning, R, Weka, RapidMiner, NLU, NLG, Java, Python, CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Mallet, scikit-learn, MLlib, Theano, NumPy Full Time

Our client is backed by the most successful incubator in the world, and builds next generation interfaces to AI systems.  In this role, you will be mentored by a well known world expert in NLP who advises the company on their NLP strategy.

Responsibilities:

• Build, improve and extend NLP capabilities
• Research and evaluate new/different approaches to NLP problems.
• Produce deliverable results and take them from development to production in collaboration with our engineers.

Requirements:

• Strong Machine Learning background and familiarity with R, WEKA, RapidMiner, etc.
• Expertise in at least 3 of the following: Sentiment Analysis, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG).
• Strong understanding of text pre-processing and normalization techniques, such as tokenization
• POS tagging and parsing and how they work at a low level.
• Strong knowledge of Java or Python, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Expertise in producing, processing, evaluating and utilizing training data.
• MSc./PhD in Computer Science, Computational Linguistics or related fields from top tier university

Great to have:

• Good understanding of linguistics and language as a phenomenon.
• Strong interest in, and knowledge of Artificial Intelligence and its subfields.
• Experience with non-English NLP.
• Experience with Deep Learning and Word Embeddings.
• Experience with open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Mallet, etc.
• Experience with open-source ML/math toolkits such as scikit-learn, MLlib, Theano, NumPy, etc.
• Experience with noisy and/or unstructured textual data (e.g. tweets)
• Published work in academic conferences/journals or industry circles.