NLP ML Engineer — Deep Learning for Language AI

Entefy; United States; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

Entefy is seeking an NLP engineer to apply deep learning on confidential projects across its product suite. You will leverage deep linguistic insight and ML theory to build advanced machine intelligence for language understanding and generation tasks.

Ideal candidates have 3+ years of NLP experience, strong math foundations, and proficiency in Python plus one of C/C++/Java. Experience with text analytics, NLP tools (NLTK, spaCy, Gensim) and ML frameworks (TensorFlow, PyTorch, Keras) is required.

Qualifications

• Solid fundamentals in mathematics, statistics, and ML theory.
• Minimum 3 years of commercial experience in natural language processing.
• Proficiency in Python, C, C++, or Java.
• Experience with text analytics, knowledge base construction, machine translation, or dialog systems.
• Proficiency in NLP tools such as NLTK, spaCy, or Gensim.
• Proficiency in ML tools such as TensorFlow, Keras, or PyTorch.
• English fluency.

Responsabilités

• Use deep learning and other methods to work on confidential projects impacting Entefy's suite of products
• Apply deep understanding of algorithms to build advanced machine intelligence
• Work on natural language understanding and generation tasks

Connaissances

Mathematics

Statistics

Machine learning theory

Natural language processing

English fluency

Formation

Advanced degree in Computer Science

Advanced degree in Machine Learning

Advanced degree in Mathematics

Computational Linguistics

Outils

Python

C

C++

Java

NLTK

spaCy

Gensim

TensorFlow

Keras

PyTorch

Elasticsearch

Spark

Hadoop

Description du poste

Entefy is seeking an NLP engineer to apply deep learning on confidential projects across its product suite. You will leverage deep linguistic insight and ML theory to build advanced machine intelligence for language understanding and generation tasks.

Ideal candidates have 3+ years of NLP experience, strong math foundations, and proficiency in Python plus one of C/C++/Java. Experience with text analytics, NLP tools (NLTK, spaCy, Gensim) and ML frameworks (TensorFlow, PyTorch, Keras) is required.