ML Engineer

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