ML Engineer - NLP (Remote Position)

Summary

Entefy is seeking a talented and driven NLP specialist to join their high-impact team that is core to their mission. The role involves using deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products.

Responsibilities

• Apply_url: https://jobs.lever.co/entefy/25f4bd15-a42a-4f58-b7e9-d1ea40ef67b4/apply
• Canonical_url: https://jobs.lever.co/entefy/25f4bd15-a42a-4f58-b7e9-d1ea40ef67b4
• Categories: {allLocations=[Remote], commitment=Full Time, department=Jobs at Entefy, location=Remote, team=Product Force}
• Commitment: Full Time
• Created_at: 1513822772429
• Department: Jobs at Entefy
• Employment_type: Full Time
• Hosted_url: https://jobs.lever.co/entefy/25f4bd15-a42a-4f58-b7e9-d1ea40ef67b4
• Team: Product Force
• Work_model: Remote
• Workplace_type: Remote
• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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