Machine Learning Intern Resume Example & Writing Guide

Use this Machine Learning Intern resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

As a machine learning engineer or data scientist, you’re tasked with building systems that can learn from data—and then make predictions based on what they’ve learned.

Machine learning is a super exciting space that’s growing fast, so if you’re looking for a new opportunity with lots of room for growth, this might be the role for you.

Here are some tips and an example to help you write a compelling machine learning intern resume that hiring managers will love.

David Moore
Phoenix, AZ | (123) 456-7891 | [email protected]

Passionate machine learning intern with experience in data mining, predictive modeling, and natural language processing. Skilled in Python, R, and MATLAB. Eager to apply theoretical knowledge to practical applications and develop innovative machine learning solutions.

Arizona State University Jun '10
B.S. in Computer Science
Company A, Machine Learning Intern Jan '17 – Current
  • Developed a deep learning model to detect and classify anomalies in the manufacturing process of an industrial robot, using TensorFlow.
  • Designed experiments for evaluating the performance of different machine learning models on specific datasets with Python’s scikit-learn library.
  • Analyzed data from various sources (e.g., sensors, cameras) to identify patterns that could be used as features for predictive modeling tasks such as anomaly detection or condition monitoring.
  • Assisted in developing new methods for detecting faults in robotic systems by analyzing sensor data and performing statistical analysis on collected data sets using R programming language.
  • Collaborated with engineers to develop solutions based on analytical results and implemented algorithms into existing software applications using C++ programming language.
Company B, Machine Learning Intern Jan '12 – Dec '16
  • Developed a machine learning algorithm to predict the probability of fraudulent transactions in real-time
  • Created an automated system that monitored and analyzed data from multiple sources, including social media
  • Improved customer experience by implementing predictive analytics for targeted marketing campaigns
  • Collaborated with senior developers on research projects using cutting-edge technologies like TensorFlow and Keras
  • Implemented a recommendation engine based on collaborative filtering techniques (Netflix Prize winner)
Company C, Data Analyst Jan '09 – Dec '11
  • Conducted data analysis to support business decision making by extracting, manipulating and analyzing data from various sources.
  • Presented findings from data analysis in a clear and concise manner to non-technical staff and senior management.
  • Developed and maintained data visualizations to help business users understand complex data sets.

Industry Knowledge: Machine Learning, Data Mining, Predictive Analytics, NLP, Data Analysis
Technical Skills: Python, R, Java, Scala, SQL, Hadoop, Spark
Soft Skills: Communication, Teamwork, Attention to Detail, Written and Verbal Communication

How to Write a Machine Learning Intern Resume

Here’s how to write a resume of your own.

Write Compelling Bullet Points

When you’re writing your bullet points, it can be tempting to focus on the tasks you performed. But that’s not always the most effective approach.

Instead, you should focus on the results of your work. So rather than saying you “conducted data analysis,” you could say you “conducted data analysis and identified new opportunities for growth in key markets.”

The second bullet point is much stronger because it focuses on the outcome of the work rather than just the work itself. And it also provides specific details about what exactly you did and the results of your work.

Identify and Include Relevant Keywords

When you submit your resume for a machine learning internship, it’s likely that it will be scanned by an applicant tracking system (ATS) for certain keywords. This program looks for specific terms related to the job, like “data analysis” and “machine learning” in order to determine whether your skills are a match. If you don’t have enough relevant keywords on your resume, the ATS might discard your application.

That’s why it’s important to include keywords throughout all parts of your resume. You can add them into the work experience, skills, summary, and education sections. Here are some of the most commonly used machine learning keywords:

  • Machine Learning
  • Python (Programming Language)
  • R (Programming Language)
  • Data Science
  • Deep Learning
  • Python for Data Analysis
  • Statistics
  • Data Visualization
  • Regression
  • TensorFlow
  • Artificial Intelligence (AI)
  • SQL
  • Statistical Modeling
  • Analytical Skills
  • Modeling
  • Bayesian Statistics
  • Predictive Analytics
  • Algorithms
  • Statistics & Probability
  • Natural Language Processing (NLP)
  • Deep Learning Frameworks
  • Data Mining
  • Reinforcement Learning
  • Machine Learning Libraries
  • Computer Vision
  • Predictive Modeling
  • Supervised Learning
  • TensorFlow.js
  • Spark

Showcase Your Technical Skills

As a machine learning intern, your primary responsibility will be to develop and test machine learning models. In order to do this effectively, you will need to be proficient in programming languages like Python and R. You will also need to have a solid understanding of machine learning concepts and algorithms. Additionally, it would be helpful if you had experience with specific machine learning platforms, like TensorFlow, Keras, and PyTorch. If you have any of these skills, be sure to list them prominently on your resume.


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