Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Entefy is an enterprise AI software and automation company. Entefy's multisensory AI technology delivers on the promise of the intelligent enterprise, at unprecedented speed and scale (think 15,000x performance improvement to Entefy customers).
Entefy products and services help organizations transform their legacy systems and process—everything from knowledge management to workflows, cybersecurity, data privacy, customer engagement, forecasting, and more.
Entefy’s customers vary in size from SMEs to $100+ Billion US and global public companies across a number of industries including financial services, health care, retail, and manufacturing.
With 250,000 hours invested in advanced R&D (including contributions from more than 100 scientists and engineers), Entefy has created a rich IP portfolio spanning 100s of trade secrets and patents combined.
Get started at www.entefy.com.
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