ML Engineer - NLP (Remote Position)

Entefy Inc. provides software solutions. The Company offers platforms for digital communication which access to various conversations and connections between smart devices. Entefy serves customers in the State of…

Location: Remote
Company size: 20–100
Posted: 8y ago
Via: Lever

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ML Engineer - NLP (Remote Position) · Entefy

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Job title: ML Engineer - NLP (Remote Position)
Job location: Remote
Job listing URL: https://jobs.lever.co/entefy/25f4bd15-a42a-4f58-b7e9-d1ea40ef67b4
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