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.

Jennifer Thomas
Los Angeles, CA | (123) 456-7891 | [email protected]

Natural Language Processing Engineer with experience in data mining, machine learning, and artificial intelligence. Proven ability to develop algorithms and models that can understand and analyze text data. Seeking a position where I can use my skills to improve customer experience and help the company achieve its goals.

Stanford University Jun '10
M.S. in Computer Science
Stanford University Jun '06
B.S. in Computer Science
Company A, NLP Engineer Jan '17 – Current
  • Developed and implemented NLP models for sentiment analysis, entity recognition, relation extraction, etc.
  • Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features and built statistical models in Python/JavaScript based on ML algorithms like SVM, Logistic Regression, Neural Networks.
  • Used tools such as AWS SageMaker (Python) or Azure Machine Learning Studio (C#) to deploy trained model into production environment with minimal code required by developers.
  • Worked closely with product managers and software engineers to understand requirements and translate them into technical specifications that can be used by machine learning engineers to build solutions quickly.
  • Collaborated with other teams across Microsoft including marketing research & insights team to identify opportunities where AI could add value for customers and partners of Microsoft 365 Ecosystems
Company B, NLP Engineer Jan '12 – Dec '16
  • Created a machine learning model to predict customer churn based on historical data, reducing the company’s churn rate by 5%
  • Built an NLP system that automatically classified emails as spam or not spam using natural language processing techniques
  • Developed and maintained a sentiment analysis tool for use in market research surveys (Python)
  • Improved the accuracy of email classification from 85% to 95% through feature engineering and regularization techniques
  • Implemented a web crawler to collect training data for text classification models (Scrapy + Python)
Company C, NLP Intern Jan '09 – Dec '11
  • Worked with the core natural language processing research team to develop and implement novel techniques for sentiment analysis on product reviews, dialogue state tracking in chatbots, customer service automation, etc.
  • Developed a prototype of an automated assistant that uses deep learning models trained from data collected by Amazon’s Mechanical Turk platform.
  • Constructed a pipeline that analyzes millions of tweets related to specific products or brands in order to gain insight into consumer opinions about those products/brands and compare results against existing survey-based measurements for similar companies/products.
  • Certified NLP Coach
  • Neuro-Linguistic Programming (NLP) Master Practitioner
  • Hypnotherapy Certification

Industry Knowledge: NLP, Machine Learning, Natural Language Processing, Deep Learning, AI
Technical Skills: R, Python, TensorFlow, Keras, Spark, Hadoop, Apache Spark, Apache Hadoop
Soft Skills: Communication, Problem Solving, Creativity, Attention to Detail, Research, Teamwork

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!


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