ML Engineer – NLP

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📝 NLP Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 72%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Entefy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

💰 $5M Funding Round on 2021-08

Healthcare • Manufacturing • Logistics

Entefy is an advanced AI and automation company specializing in multisensory AI technology designed to empower intelligent enterprises. With its comprehensive platform and innovative products such as the Mimi AI Engine, Entefy provides solutions in various fields including digital supply chain management, credit and risk decisioning, and crypto market intelligence. Entefy's technology is aimed at solving high-value business problems through AI-driven analytics and automation, enhancing productivity and efficiency in diverse industries. It boasts a vast intellectual property portfolio and significant investment in R&D to advance its core technologies, which cater to a wide range of global enterprises.

📋 Description

• Use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products • 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 • 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