We use essential technologies to keep Swiftcruit secure and running. With your permission, we also use analytics and marketing technologies to understand usage and improve the product. You can change this anytime from Cookie Settings in the footer. Read our Cookie Policy.
ML Engineer - NLP, Remote Position at Entefy | Swiftcruit
Natural Language ProcessingDeep LearningPythonCC++JavaText AnalyticsMachine TranslationNLTKCoreNLPGensimspaCyTensorFlowKerasTorchElasticsearchHadoopSpark
Company Location
Remote, Oregon, United States
Remote Work Policy
Remote only
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
