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 - Pasadena, CA

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.