NLP Engineer Salary

NLP Engineer Job Description

An NLP engineer works in the field of natural language processing. NLP engineers work to create programs that allow computers to interact with humans using natural human language. Good examples of this kind of interaction include Apple's Siri and Amazon's Alexa. NLP is also used for translating information (like with Microsoft's Skype translator) and for answering questions (such as with Google translate). An nlp-engineer typically has a degree in computer science or a related field and knows various computer programming languages such as Elixir, Java,JavaScript, Ruby and Vue.js. NLP engineers must also have an understanding of linguistics. NLP engineers are needed in many different industries including medicine, law and financial industries like banking. These engineers often work with other IT professionals and company teams to help build programs and solve problems.

The field of natural language processing goes all the way back to the 1950s and an article called the "Turing test" that Alan Turing published about computing machinery and intelligence. Many experiments were conducted, but progress was slow for many years. For the next 30 years, the majority of NLPs that existed were based on highly complex sets of rules that were hand-written. However, the 1980s brought about a revolution for natural language processing when machine learning algorithms for language processing was introduced. Systems-based machine learning has many advantages over the handwritten rules, such as automation and efficiency. Today, this field has grown tremendously using tasks like syntax, semantics, discourse and speech to process language.