Machine Learning Developer

Toronto, ON

Job Summary


You Have:



  • Solid background in deep learning techniques for NLP (word vectors, thought vectors, RNNs, LSTMs, GRUs)

  • Must have Client/NLP algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, work-out the math and implement)

  • Strong programming skills in Python (we use Tensorflow as our deep learning framework)

  • Ability to develop prototypes by manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

  • Eager to learn new algorithms, new application areas and new tools.

  • Excellent communication skills


Qualifications and Skills


Preferred Qualifications :



  • PhD in Natural Language Processing or Information Retrieval

  • Experience in one or more of the following areas: entity/relation extraction, normalization, summarization, semantic search, word/paragraph/docuDEEPment embedding, ranking, ontology-aware IR, question answering

  • Experience and/or motivation to work on modern deep learning approaches to NLP: word/paragraph embeddings, representation learning, text/sentiment classification, disambiguation

  • Track-record of having developed Client algorithms, e.g. publications in one or more of the following: ACL, EMNLP, COLING, NIPS, NAACL, SIGIR, ICML KDD, WWW etc.

  • Experience with large scale data analysis tools such as Spark, Hadoop etc

  • Experience with file systems, server architectures, and distributed systems


Education:



  • PhD in Natural Language Processing or Information Retrieval or

  • PhD in machine learning (or in a highly related area), and related industry experience


Reference ID: 4d31eb12549b

Date Posted: 12/08/2017

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