What is the salary for this ML Engineer - NLP (Remote Position) role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Entefy.

Is this ML Engineer - NLP (Remote Position) position remote?

Yes, this is a fully remote position. You can work from anywhere.

How do I apply for this ML Engineer - NLP (Remote Position) job at Entefy?

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Entefy is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Entefy.

ML Engineer - NLP (Remote Position)

Entefy Remote Today

data

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

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