Natural Language Understanding Engineer

Natural Language Understanding Engineer is a career role relating to the field of artificial intelligence. The career of a Natural Language Understanding Engineer is focused on developing and building Natural Language Processing (NLP) models to empower computers to comprehend the human language. NLP is a sub-field of artificial intelligence specifically focused on language as a form of data. 

What Does a Natural Language Understanding Engineer Do?

Natural Language Understanding is highly specialized and involves a great deal of programming. The role requires an understanding of how computers can learn from data, also known as machine learning. 

As a Natural Language Understanding Engineer, you may use a variety of programming languages, such as Python and Java, to carry out your daily tasks. The work often includes data collection, data preparation, model selection, model training, and model evaluation. Natural Language Understanding Engineers apply algorithms and mathematical models to language data so that computers are able to understand and produce human language.

Skills of a Natural Language Understanding Engineer

The career field of a Natural Language Understanding Engineer is suited for individuals with strong analytical skills and a strong aptitude for math and programming. The role combines linguistics and computer science, so a deep interest in both areas is beneficial. A Natural Language Understanding Engineer must have a strong understanding of natural language processing, machine learning, and deep learning.

Is This Career Right for You?

The career of a Natural Language Understanding Engineer is still a very new field. However, there is a rapidly growing demand for these professionals as more companies adopt technologies such as chatbots, machine translation, and text analytics.