Solid fundamentals in mathematics, statistics, and machine learning theory
Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation
Proficient knowledge of at least one programming language (Python, C, C++, Java, etc.)
Proficiency with NLP tools (NLTK, CoreNLP, spaCy, OpenNLP, UIMA, GATE) and ML frameworks (TensorFlow, Keras, Caffe, Theano, Torch, etc.)
Requirements:
Use deep learning and other methods to develop NLP solutions for confidential projects impacting Entefy’s product suite
Apply strong algorithmic knowledge to build novel machine intelligence in natural language processing
Collaborate with a high-impact team to advance Entefy’s mission and product capabilities
Translate research into production-ready NLP systems and contribute to design, implementation, and optimization of NLP components
Job description
If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication.
We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence.
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
