Note: The job is a remote job and is open to candidates in USA. 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
Company Overview
Company H1B Sponsorship