NLP Engineer Resume Example & Writing Guide
Use this NLP Engineer resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
NLP engineers apply their coding skills to natural language processing—the study of computer systems that can understand and respond to human language. They design algorithms that can analyze large amounts of text and extract meaningful information from it.
Here are some tips and an example to help you write your own fantastic NLP engineer resume to land your next job.
How to Write an NLP Engineer Resume
Here’s how to write an resume of your own.
Write Compelling Bullet Points
The best way to make your resume stand out is to use specific examples and numbers. So rather than saying you “developed machine learning models,” you could say you “developed a neural network model to identify cancerous tissue with 99% accuracy, resulting in a 10% increase in patient survival rate.”
The second bullet point is much more specific and compelling because it provides a clear example of what you did and the results of your work.
Identify and Include Relevant Keywords
Keywords are especially important for your resume when you’re applying online. That’s because many employers use an applicant tracking system (ATS) to screen resumes. This program will search for certain terms related to the job opening, like “natural language processing” or “data analytics,” to determine whether your skills and experience are a match. If your resume doesn’t include enough relevant keywords, the ATS might filter out your application.
To make sure this doesn’t happen, take a look at the job posting and use the keywords found in it to help you build your resume. You can also use our list of common NLP engineer keywords as a starting point:
- Natural Language Processing (NLP)
- Python (Programming Language)
- Machine Learning
- Deep Learning
- Artificial Intelligence (AI)
- Natural Language Understanding
- Machine Learning Algorithms
- Natural Language
- Python for Data Analysis
- Linux
- Software Development
- Java
- Natural Language Processing with Python
- C#
- Computer Vision
- Information Retrieval
- Distributed Computing
- Artificial Neural Networks (ANNs)
- Java Programming
- SQL
- Programming
- Extract, Transform, Load (ETL)
- Unix
- XML
- JavaScript
- MySQL
- Spring Framework
- Git
- Domain Specific Languages (DSLs)
- Regular Expressions
Showcase Your Technical Skills
As an NLP engineer, you need to be proficient in a variety of software programs and systems in order to do your job effectively. This might include natural language processing (NLP) software, text mining software, and machine learning software. Additionally, you need to have a solid understanding of big data concepts and platforms like Hadoop, Hive, and Spark.
So if you have experience with any of these programs or platforms, be sure to list them on your resume. And if you’re not familiar with them, now is the time to learn them!